Computational Intelligence, Theory and Applications

Computational Intelligence, Theory and Applications
Author :
Publisher : Springer Science & Business Media
Total Pages : 802
Release :
ISBN-10 : 9783540347835
ISBN-13 : 3540347836
Rating : 4/5 (35 Downloads)

Synopsis Computational Intelligence, Theory and Applications by : Bernd Reusch

This book constitutes the refereed proceedings of the 9th Dortmund Fuzzy Days, Dortmund, Germany, 2006. This conference has established itself as an international forum for the discussion of new results in the field of Computational Intelligence. The papers presented here, all thoroughly reviewed, are devoted to foundational and practical issues in fuzzy systems, neural networks, evolutionary algorithms, and machine learning and thus cover the whole range of computational intelligence.

Applications of Computational Intelligence in Multi-Disciplinary Research

Applications of Computational Intelligence in Multi-Disciplinary Research
Author :
Publisher : Academic Press
Total Pages : 222
Release :
ISBN-10 : 9780128241769
ISBN-13 : 0128241764
Rating : 4/5 (69 Downloads)

Synopsis Applications of Computational Intelligence in Multi-Disciplinary Research by : Ahmed A. Elngar

Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing. - Provides an overview of the key methods of computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods - Includes case studies and real-world examples of computational intelligence applied in a variety of research topics, including bioinformatics, biomedical engineering, big data analytics, information security, signal processing, machine learning, nanotechnology, and optimization techniques - Presents a thorough technical explanation on how computational intelligence is applied that is suitable for a wide range of multidisciplinary and interdisciplinary research

Computational Intelligence Paradigms

Computational Intelligence Paradigms
Author :
Publisher : CRC Press
Total Pages : 853
Release :
ISBN-10 : 9781439809037
ISBN-13 : 1439809038
Rating : 4/5 (37 Downloads)

Synopsis Computational Intelligence Paradigms by : S. Sumathi

Offering a wide range of programming examples implemented in MATLAB, Computational Intelligence Paradigms: Theory and Applications Using MATLAB presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy systems, evolutionary computation, genetic algorithms and pr

Computational Intelligence And Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques

Computational Intelligence And Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques
Author :
Publisher : World Scientific
Total Pages : 318
Release :
ISBN-10 : 9781908977076
ISBN-13 : 1908977078
Rating : 4/5 (76 Downloads)

Synopsis Computational Intelligence And Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques by : Hung Tan Nguyen

This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. Fundamental concepts and essential analysis of various computational techniques are presented to offer a systematic and effective tool for better treatment of different applications, and simulation and experimental results are included to illustrate the design procedure and the effectiveness of the approaches./a

Computational Intelligence

Computational Intelligence
Author :
Publisher : Springer Science & Business Media
Total Pages : 708
Release :
ISBN-10 : 9783540273356
ISBN-13 : 3540273352
Rating : 4/5 (56 Downloads)

Synopsis Computational Intelligence by : Amit Konar

Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of computational intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of fuzzy sets and logic, neural networks, evolutionary computing and belief networks. The application areas include fuzzy databases, fuzzy control, image understanding, expert systems, object recognition, criminal investigation, telecommunication networks, and intelligent robots. The book contains many numerical examples and homework problems with sufficient hints so that the students can solve them on their own.

Computational Intelligence Systems in Industrial Engineering

Computational Intelligence Systems in Industrial Engineering
Author :
Publisher : Springer Science & Business Media
Total Pages : 683
Release :
ISBN-10 : 9789491216770
ISBN-13 : 9491216775
Rating : 4/5 (70 Downloads)

Synopsis Computational Intelligence Systems in Industrial Engineering by : Cengiz Kahraman

Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of production and service systems. Computational Intelligence Systems find a wide application area in industrial engineering: neural networks in forecasting, fuzzy sets in capital budgeting, ant colony optimization in scheduling, Simulated Annealing in optimization, etc. This book will include most of the application areas of industrial engineering through these computational intelligence systems. In the literature, there is no book including many real and practical applications of Computational Intelligence Systems from the point of view of Industrial Engineering. Every chapter will include explanatory and didactic applications. It is aimed that the book will be a main source for MSc and PhD students.

Artificial Intelligence: Theory and Applications

Artificial Intelligence: Theory and Applications
Author :
Publisher : Springer Nature
Total Pages : 353
Release :
ISBN-10 : 9783030727116
ISBN-13 : 3030727114
Rating : 4/5 (16 Downloads)

Synopsis Artificial Intelligence: Theory and Applications by : Endre Pap

This book is an up-to-date collection, in AI and environmental research, related to the project ATLAS. AI is used for gaining an understanding of complex research phenomena in the environmental sciences, encompassing heterogeneous, noisy, inaccurate, uncertain, diverse spatio-temporal data and processes. The first part of the book covers new mathematics in the field of AI: aggregation functions with special classes such as triangular norms and copulas, pseudo-analysis, and the introduction to fuzzy systems and decision making. Generalizations of the Choquet integral with applications in decision making as CPT are presented. The second part of the book is devoted to AI in the geo-referenced air pollutants and meteorological data, image processing, machine learning, neural networks, swarm intelligence, robotics, mental well-being and data entry errors. The book is intended for researchers in AI and experts in environmental sciences as well as for Ph.D. students.

Energy Management—Collective and Computational Intelligence with Theory and Applications

Energy Management—Collective and Computational Intelligence with Theory and Applications
Author :
Publisher : Springer
Total Pages : 548
Release :
ISBN-10 : 9783319756905
ISBN-13 : 3319756907
Rating : 4/5 (05 Downloads)

Synopsis Energy Management—Collective and Computational Intelligence with Theory and Applications by : Cengiz Kahraman

This book presents a selection of recently developed collective and computational intelligence techniques, which it subsequently applies to energy management problems ranging from performance analysis to economic analysis, and from strategic analysis to operational analysis, with didactic numerical examples. As a form of intelligence emerging from the collaboration and competition of individuals, collective and computational intelligence addresses new methodological, theoretical, and practical aspects of complex energy management problems. The book offers an excellent reference guide for practitioners, researchers, lecturers and postgraduate students pursuing research on intelligence in energy management. The contributing authors are recognized researchers in the energy research field.

Fundamentals of Computational Intelligence

Fundamentals of Computational Intelligence
Author :
Publisher : John Wiley & Sons
Total Pages : 378
Release :
ISBN-10 : 9781119214366
ISBN-13 : 111921436X
Rating : 4/5 (66 Downloads)

Synopsis Fundamentals of Computational Intelligence by : James M. Keller

Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.

Multi-Objective Optimization in Computational Intelligence: Theory and Practice

Multi-Objective Optimization in Computational Intelligence: Theory and Practice
Author :
Publisher : IGI Global
Total Pages : 496
Release :
ISBN-10 : 9781599045009
ISBN-13 : 1599045001
Rating : 4/5 (09 Downloads)

Synopsis Multi-Objective Optimization in Computational Intelligence: Theory and Practice by : Thu Bui, Lam

Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.