Hybrid Computational Intelligence

Hybrid Computational Intelligence
Author: Siddhartha Bhattacharyya,Václav Snášel,Deepak Gupta,Ashish Khanna
Publsiher: Academic Press
Total Pages: 250
Release: 2020-03-05
ISBN: 012818700X
Category: Computers
Language: EN, FR, DE, ES & NL

Hybrid Computational Intelligence Book Excerpt:

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. Provides insights into the latest research trends in hybrid intelligent algorithms and architectures Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction Features hybrid intelligent applications in biomedical engineering and healthcare informatics

Hybrid Computational Intelligence

Hybrid Computational Intelligence
Author: Siddhartha Bhattacharyya,Václav Snásel,Ashish Khanna,Deepak Gupta
Publsiher: Academic Press
Total Pages: 252
Release: 2020-03-06
ISBN: 0128186992
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Hybrid Computational Intelligence Book Excerpt:

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems.

Tree Structure based Hybrid Computational Intelligence

Tree Structure based Hybrid Computational Intelligence
Author: Yuehui Chen,Ajith Abraham
Publsiher: Springer Science & Business Media
Total Pages: 206
Release: 2009-11-27
ISBN: 3642047394
Category: Computers
Language: EN, FR, DE, ES & NL

Tree Structure based Hybrid Computational Intelligence Book Excerpt:

Research in computational intelligence is directed toward building thinking machines and improving our understanding of intelligence. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. In this book, the authors illustrate an hybrid computational intelligence framework and it applications for various problem solving tasks. Based on tree-structure based encoding and the specific function operators, the models can be flexibly constructed and evolved by using simple computational intelligence techniques. The main idea behind this model is the flexible neural tree, which is very adaptive, accurate and efficient. Based on the pre-defined instruction/operator sets, a flexible neural tree model can be created and evolved. This volume comprises of 6 chapters including an introductory chapter giving the fundamental definitions and the last Chapter provides some important research challenges. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques and data mining will find the comprehensive coverage of this book invaluable.

Hybrid Computational Intelligence

Hybrid Computational Intelligence
Author: Siddhartha Bhattacharyya,Václav Snášel,Indrajit Pan,Debashis De
Publsiher: CRC Press
Total Pages: 220
Release: 2019-10-01
ISBN: 042984266X
Category: Computers
Language: EN, FR, DE, ES & NL

Hybrid Computational Intelligence Book Excerpt:

Hybrid computational intelligent techniques are efficient in dealing with the real-world problems encountered in engineering fields. The primary objective of this book is to provide an exhaustive introduction as well as review of the hybrid computational intelligent paradigm, with supportive case studies. In addition, it aims to provide a gallery of engineering applications where this computing paradigm can be effectively use. Finally, it focuses on the recent quantum inspired hybrid intelligence to develop intelligent solutions for the future. The book also incorporates video demonstrations of each application for better understanding of the subject matter.

Computational Intelligence

Computational Intelligence
Author: De-Shuang Huang,George William Irwin
Publsiher: Springer Science & Business Media
Total Pages: 1337
Release: 2006-08-04
ISBN: 3540372741
Category: Computers
Language: EN, FR, DE, ES & NL

Computational Intelligence Book Excerpt:

This is the proceedings of the International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 2006. The book presents 165 revised full papers, carefully chosen and reviewed, organized in topical sections on fuzzy systems, fuzzy-neuro-evolutionary hybrids, supervised, unsupervised and reinforcement learning, intelligent agent and Web applications, intelligent fault diagnosis, natural language processing and expert systems, natural language human-machine interface using artificial neural networks, and intelligent financial engineering.

Computational Intelligence for Information Retrieval

Computational Intelligence for Information Retrieval
Author: Dharmender Saini,Gopal Chaudhary,Vedika Gupta
Publsiher: CRC Press
Total Pages: 292
Release: 2021-12-15
ISBN: 1000484726
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Computational Intelligence for Information Retrieval Book Excerpt:

This book provides a thorough understanding of the integration of computational intelligence with information retrieval including content-based image retrieval using intelligent techniques, hybrid computational intelligence for pattern recognition, intelligent innovative systems, and protecting and analysing big data on cloud platforms. The book aims to investigate how computational intelligence frameworks are going to improve information retrieval systems. The emerging and promising state-of-the-art of human–computer interaction is the motivation behind this book. The book covers a wide range of topics, starting from the tools and languages of artificial intelligence to its philosophical implications, and thus provides a plethora of theoretical as well as experimental research, along with surveys and impact studies. Further, the book aims to showcase the basics of information retrieval and computational intelligence for beginners, as well as their integration, and challenge discussions for existing practitioners, including using hybrid application of augmented reality, computational intelligence techniques for recommendation systems in big data, and a fuzzy-based approach for characterization and identification of sentiments.

Computational Intelligence Techniques for New Product Design

Computational Intelligence Techniques for New Product Design
Author: Kit Yan Chan,C.K. Kwong,Tharam S. Dillon
Publsiher: Springer
Total Pages: 242
Release: 2012-02-15
ISBN: 3642274765
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Computational Intelligence Techniques for New Product Design Book Excerpt:

Applying computational intelligence for product design is a fast-growing and promising research area in computer sciences and industrial engineering. However, there is currently a lack of books, which discuss this research area. This book discusses a wide range of computational intelligence techniques for implementation on product design. It covers common issues on product design from identification of customer requirements in product design, determination of importance of customer requirements, determination of optimal design attributes, relating design attributes and customer satisfaction, integration of marketing aspects into product design, affective product design, to quality control of new products. Approaches for refinement of computational intelligence are discussed, in order to address different issues on product design. Cases studies of product design in terms of development of real-world new products are included, in order to illustrate the design procedures, as well as the effectiveness of the computational intelligence based approaches to product design. This book covers the state-of-art of computational intelligence methods for product design, which provides a clear picture to post-graduate students in industrial engineering and computer science. It is particularly suitable for researchers and professionals working on computational intelligence for product design. It provides concepts, techniques and methodologies, for product designers in applying computational intelligence to deal with product design.

Computational Intelligence

Computational Intelligence
Author: Mircea Gh. Negoita,Daniel Neagu,Vasile Palade
Publsiher: Springer Science & Business Media
Total Pages: 213
Release: 2005-02-17
ISBN: 9783540232193
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Computational Intelligence Book Excerpt:

Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms – evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods for building a hybrid intelligent system. It treats a panoply of applications, including many in industry, educational systems, forecasting, financial engineering, and bioinformatics. This volume is useful to newcomers in the field because it quickly familiarizes them with engineering elements of developing hybrid intelligent systems and a wide range of real applications, including non-industrial applications. Researchers, developers and technically oriented managers can use the book for developing both new hybrid intelligent systems approaches and new applications requiring the hybridization of the typical tools and concepts to computational intelligence.

Illustrated Computational Intelligence

Illustrated Computational Intelligence
Author: Priti Srinivas Sajja
Publsiher: Springer Nature
Total Pages: 225
Release: 2020-11-16
ISBN: 9811595895
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Illustrated Computational Intelligence Book Excerpt:

This book presents a summary of artificial intelligence and machine learning techniques in its first two chapters. The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern machine intelligence techniques including the hybrid computational intelligence technique, using the concepts of several real-life solved examples, design of projects and research ideas. The solved examples with more than 200 illustrations presented in the book are a great help to instructors, students, non–AI professionals, and researchers. Each example is discussed in detail with encoding, normalization, architecture, detailed design, process flow, and sample input/output. Summary of the fundamental concepts with solved examples is a unique combination and highlight of this book.

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications
Author: Arun Kumar Sangaiah,Zhiyong Zhang,Michael Sheng
Publsiher: Academic Press
Total Pages: 362
Release: 2018-08-21
ISBN: 0128133279
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications Book Excerpt:

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful. Presents a brief overview of computational intelligence paradigms and its significant role in application domains Illustrates the state-of-the-art and recent developments in the new theories and applications of CI approaches Familiarizes the reader with computational intelligence concepts and technologies that are successfully used in the implementation of cloud-centric multimedia services in massive data processing Provides new advances in the fields of CI for bio-engineering application

Computational Intelligence A Compendium

Computational Intelligence  A Compendium
Author: John Fulcher
Publsiher: Springer Science & Business Media
Total Pages: 1179
Release: 2008-06-16
ISBN: 3540782923
Category: Computers
Language: EN, FR, DE, ES & NL

Computational Intelligence A Compendium Book Excerpt:

Computational Intelligence: A Compendium presents a well structured overview about this rapidly growing field with contributions of leading experts in Computational Intelligence. The main focus of the compendium is on applied methods tired-and-proven effective to realworld problems, which is especially useful for practitioners, researchers, students and also newcomers to the field. The 25 chapters are grouped into the following themes: I. Overview and Background II. Data Preprocessing and Systems Integration III. Artificial Intelligence IV. Logic and Reasoning V. Ontology VI. Agents VII. Fuzzy Systems VIII. Artificial Neural Networks IX. Evolutionary Approaches X. DNA and Immune-based Computing.

Computational Intelligence Techniques for Trading and Investment

Computational Intelligence Techniques for Trading and Investment
Author: Christian Dunis,Spiros Likothanassis,Andreas Karathanasopoulos,Georgios Sermpinis,Konstantinos Theofilatos
Publsiher: Routledge
Total Pages: 218
Release: 2014-03-26
ISBN: 1136195114
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Computational Intelligence Techniques for Trading and Investment Book Excerpt:

Computational intelligence, a sub-branch of artificial intelligence, is a field which draws on the natural world and adaptive mechanisms in order to study behaviour in changing complex environments. This book provides an interdisciplinary view of current technological advances and challenges concerning the application of computational intelligence techniques to financial time-series forecasting, trading and investment. The book is divided into five parts. The first part introduces the most important computational intelligence and financial trading concepts, while also presenting the most important methodologies from these different domains. The second part is devoted to the application of traditional computational intelligence techniques to the fields of financial forecasting and trading, and the third part explores the applications of artificial neural networks in these domains. The fourth part delves into novel evolutionary-based hybrid methodologies for trading and portfolio management, while the fifth part presents the applications of advanced computational intelligence modelling techniques in financial forecasting and trading. This volume will be useful for graduate and postgraduate students of finance, computational finance, financial engineering and computer science. Practitioners, traders and financial analysts will also benefit from this book.

Hybrid Computational Intelligence Systems Based on Statistical and Neural Networks Methods for Time Series Forecasting

Hybrid Computational Intelligence Systems Based on Statistical and Neural Networks Methods for Time Series Forecasting
Author: Saeed Matroushi
Publsiher: Unknown
Total Pages: 308
Release: 2011
ISBN: 1928374650XXX
Category: Gold
Language: EN, FR, DE, ES & NL

Hybrid Computational Intelligence Systems Based on Statistical and Neural Networks Methods for Time Series Forecasting Book Excerpt:

Computational Intelligence in Time Series Forecasting

Computational Intelligence in Time Series Forecasting
Author: Ajoy K. Palit,Dobrivoje Popovic
Publsiher: Springer Science & Business Media
Total Pages: 372
Release: 2006-01-27
ISBN: 1846281849
Category: Computers
Language: EN, FR, DE, ES & NL

Computational Intelligence in Time Series Forecasting Book Excerpt:

Foresight in an engineering business can make the difference between success and failure, and can be vital to the effective control of industrial systems. The authors of this book harness the power of intelligent technologies individually and in combination.

Hybrid Artificial Intelligent Systems

Hybrid Artificial Intelligent Systems
Author: Emilio S. Corchado Rodriguez,Vaclav Snasel,Ajith Abraham,Michal Wozniak,Manuel Grana,Sung-Bae Cho
Publsiher: Springer Science & Business Media
Total Pages: 606
Release: 2012-03-21
ISBN: 3642289304
Category: Computers
Language: EN, FR, DE, ES & NL

Hybrid Artificial Intelligent Systems Book Excerpt:

The two LNAI volumes 7208 and 7209 constitute the proceedings of the 7th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2012, held in Salamanca, Spain, in March 2012. The 118 papers published in these proceedings were carefully reviewed and selected from 293 submissions. They are organized in topical sessions on agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, systems, man, and cybernetics by HAIS workshop, methods of classifier fusion, HAIS for computer security (HAISFCS), data mining: data preparation and analysis, hybrid artificial intelligence systems in management of production systems, hybrid artificial intelligent systems for ordinal regression, hybrid metaheuristics for combinatorial optimization and modelling complex systems, hybrid computational intelligence and lattice computing for image and signal processing and nonstationary models of pattern recognition and classifier combinations.

Springer Handbook of Computational Intelligence

Springer Handbook of Computational Intelligence
Author: Janusz Kacprzyk,Witold Pedrycz
Publsiher: Springer
Total Pages: 1634
Release: 2015-05-28
ISBN: 3662435055
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Springer Handbook of Computational Intelligence Book Excerpt:

The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.

Hybrid Intelligent Systems

Hybrid Intelligent Systems
Author: Larry R. Medsker
Publsiher: Springer
Total Pages: 298
Release: 1995-06-30
ISBN: 1928374650XXX
Category: Computers
Language: EN, FR, DE, ES & NL

Hybrid Intelligent Systems Book Excerpt:

Hybrid Intelligent Systems summarizes the strengths and weaknesses of five intelligent technologies: fuzzy logic, genetic algorithms, case-based reasoning, neural networks and expert systems, reviewing the status and significance of research into their integration. Engineering and scientific examples and case studies are used to illustrate principles and application development techniques. The reader will gain a clear idea of the current status of hybrid intelligent systems and discover how to choose and develop appropriate applications. The book is based on a thorough literature search of recent publications on research and development in hybrid intelligent systems; the resulting 50-page reference section of the book is invaluable. The book starts with a summary of the five major intelligent technologies and of the issues in and current status of research into them. Each subsequent chapter presents a detailed discussion of a different combination of intelligent technologies, along with examples and case studies. Four chapters contain detailed case studies of working hybrid systems. The book enables the reader to: Describe the important concepts, strengths and limitations of each technology; Recognize and analyze potential problems with the application of hybrid systems; Choose appropriate hybrid intelligent solutions; Understand how applications are designed with any of the approaches covered; Choose appropriate commercial development shells or tools. An invaluable reference source for those who wish to apply intelligent systems techniques to their own problems.

Hybrid Intelligence for Image Analysis and Understanding

Hybrid Intelligence for Image Analysis and Understanding
Author: Siddhartha Bhattacharyya,Indrajit Pan,Anirban Mukherjee,Paramartha Dutta
Publsiher: John Wiley & Sons
Total Pages: 464
Release: 2017-10-02
ISBN: 1119242924
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Hybrid Intelligence for Image Analysis and Understanding Book Excerpt:

13.3.1 Preprocessing of Breast Cancer Image

Design and Application of Hybrid Intelligent Systems

Design and Application of Hybrid Intelligent Systems
Author: Ajith Abraham,Mario Köppen,Katrin Franke
Publsiher: Unknown
Total Pages: 1137
Release: 2003
ISBN: 9784274906312
Category: Artificial intelligence
Language: EN, FR, DE, ES & NL

Design and Application of Hybrid Intelligent Systems Book Excerpt:

"A fundamental stimulus to the investigations of Hybrid Intelligent Systems (HIS) is the awareness in the academic communities that combined approaches will be necessary if the remaining tough problems in artificial intelligence are to be solved. Recently, hybrid intelligent systems are getting popular due to their capabilities in handling several real world complexities involving imprecision, uncertainty and vagueness. Current research interests in this field focus on the integration of the different computing paradigms like fuzzy logic, neurocomputation, evolutionary computation, probabilistic computing, intelligent agents, machine learning, other intelligent computing frameworks and so on. The phenomenal growth of hybrid intelligent systems and related topics has created the need for this International conference as a venue to present the latest research. HIS' 03 builds on the success of last year's. HIS'02 was held in Santiago, Chile, 1-4 December 2002 and attracted participants from over 26 countries."--Preface.

Recent Trends in Computational Intelligence Enabled Research

Recent Trends in Computational Intelligence Enabled Research
Author: Siddhartha Bhattacharyya,Paramartha Dutta,Debabrata Samanta,Anirban Mukherjee,Indrajit Pan
Publsiher: Academic Press
Total Pages: 418
Release: 2021-07-31
ISBN: 0323851797
Category: Computers
Language: EN, FR, DE, ES & NL

Recent Trends in Computational Intelligence Enabled Research Book Excerpt:

The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques