6 edition of Computational intelligence systems and applications found in the catalog.
Includes bibliographical references (p. -357) and index.
|Statement||Marian B. Gorzałczany.|
|Series||Studies in fuzziness and soft computing,, 86, Studies in fuzziness and soft computing ;, v. 86.|
|LC Classifications||Q342 .G67 2002|
|The Physical Object|
|Pagination||x, 364 p. :|
|Number of Pages||364|
|LC Control Number||2002283062|
The book is a timely report on advanced methods and applications of computational intelligence systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, evolving systems and machine learning. 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.
The International Journal of Computational Intelligence Systems is an international peer reviewed journal and the official publication of the European Society for Fuzzy Logic and Technologies (EUSFLAT). The journal publishes original research on all aspects of applied computational intelligence, especially targeting papers demonstrating the use of techniques and methods originating from. Xin-She Yang, in Nature-Inspired Optimization Algorithms, Applications. CS has been applied in many areas of optimization and computational intelligence with promising efficiency. For example, in engineering design applications, CS has superior performance over other algorithms for a range of continuous optimization problems, such as spring design and welded beam design [32,13].
Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral 5/5(1). This book lays emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field. Focusing on evolutionary computation, neural networks, and fuzzy logic, the authors have constructed an approach to thinking about and working with computational.
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This book presents new concepts and implementations of Computational Intelligence (CI) systems (based on neuro-fuzzy and fuzzy neural synergisms) and a broad comparative analysis with the best-known existing neuro-fuzzy systems as well as with systems representing other knowledge-discovery techniques such as rough sets, decision trees, regression trees, probabilistic rule induction by: This book contains thirty timely contributions in the emerging field of Computational Intelligence (CI) with reference to system control design and applications.
The three basic constituents ofCI are neural networks (NNs). fuzzy logic (FL) I fuzzy reasoning (FR). and genetic algorithms (GAs).Cited by: 8. The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature.
The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is strictly connected with the increase of available data as well as capabilities of their processing, mutually Format: Hardcover.
This book provides a general overview and original analysis of new developments Computational intelligence systems and applications book applications in several areas of Computational Intelligence and Information Systems.
Computational Intelligence has become an important tool for engineers to develop and analyze novel techniques to solve problems in basic sciences such as physics, chemistry, biology, engineering, environment and social : Hardcover. This book represents a thoroughly comprehensive treatment of computational intelligence from an electrical power system engineer's perspective.
Thorough, well-organised and up-to-date, it examines in some detail all the important aspects of this very exciting and rapidly emerging technology, including: expert systems, fuzzy logic, artificial neural networks, genetic algorithms and hybrid by: This book presents new concepts and implementations of Computational Intelligence (CI) systems (based on neuro-fuzzy and fuzzy neural synergisms) and a broad comparative analysis with the best-known existing neuro-fuzzy systems as well as with systems representing other knowledge-discovery techniques such as rough sets, decision trees, regression.
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. This book constitutes the thoroughly refereed proceedings of the 10th International Symposium, ISICAheld in Jiujiang, China, in October The 32 full papers presented were carefully reviewe International Symposium on Intelligence Computation and Applications.
Computational Intelligence and Intelligent Systems 10th International. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionary neural systems.
Applications to linear and non-linear systems are discussed with examples. Computational Intelligence, Networked Systems and Their Applications International Conference of Life System Modeling and Simulation, LSMS and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEEShanghai, China, September, Proceedings, Part II.
This book features research related to computational intelligence and energy and thermal aware management of computing resources. The authors publish original and timely research in current areas of power, energy, temperature, and environmental engineering as and advances in computational intelligence that are benefiting the fields.
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. This book presents new concepts and implementations of Computational Intelligence (CI) systems (based on neuro-fuzzy and fuzzy neural synergisms) and a broad comparative analysis with the best-known existing neuro-fuzzy systems as well as with systems representing other knowledge-discovery techniques such as rough sets, decision trees, regression trees, probabilistic rule induction etc.
This book will appeal to professional and academic researchers in computational intelligence applications, tool development, and systems.
Key Features Moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific concepts and paradigms that inform the.
This book highlights the latest research in computational intelligence and its applications. It covers both conventional and trending approaches in individual chapters on Fuzzy Systems, Intelligence in Robotics, Deep Learning Approaches, Optimization and Classification, Detection, Inference and Prediction, Hybrid Methods, Emerging Intelligence, Intelligent Health Care, and Engineering Data.
This chapter provides an introduction to component methodologies—computational intelligence (CI), including artificial neural networks, fuzzy logic, and evolutionary computation.
Computational intelligence systems usually incorporate hybrids of paradigms such as artificial neural networks, fuzzy systems, and evolutionary computation systems. Description. The Computational Intelligence and its Applications (COMIA) Book Series encompasses all branches of artificial intelligence which are based on computation at some level such as artificial neural networks, evolutionary algorithms, case based reasoning, probabilistic reasoning, fuzzy systems, artificial immune systems, and agent based systems.
Description. Computational intelligence has a long history of applications to business - expert systems have been used for decision support in management, neural networks and fuzzy logic have been used in process control, a variety of techniques have been used in forecasting, and data mining has become a core component of customer relationship management in marketing.
This book provides a general overview and original analysis of new developments and applications in several areas of Computational Intelligence and Information Systems.
Computational Intelligence has become an important tool for engineers to develop and analyze novel techniques to solve problems in basic sciences such as physics, chemistry. Summary. 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 programming, and swarm intelligence.
The book 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 : Springer-Verlag Berlin Heidelberg.The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality.
The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science.Book consolidating the work carried in the subject of Computational Intelligence methods for Super Resolution in Image Processing Applications.
The intend of publishing the book is to serve for.