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Soft Computing

Three discusses the intensive developing of Soft Computing systems especially Wavelet-Neuro-Fuzzy Systems (WNFS) in Dynamic Data Mining tasks;

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Neuro-Fuzzy And Soft Computing

first comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing, an evolving branch within the scope;

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Applied Soft Computing

, hybrid models, machine learning, meta heuristics, neuro fuzzy system, and optimization principles. The book acts as a reference book for AI;

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Machine Intelligence and Soft Computing

computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing;

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Soft Computing with NeuroFuzzy Systems

This book covers different topics from soft computing and neuro-fuzzy systems, including intelligent neuro-fuzzy models, adaptive neuro;

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14th International Conference on Theory and Application of Fuzzy Systems and Sof

include theory and application of soft computing, neuro-fuzzy technology, intelligent control, deep learning-machine learning, fuzzy logic in data;

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10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019

, fuzzy logic in data analytics and data mining, evolutionary computing, chaotic systems, soft computing in business, economics and finance, fuzzy;

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Application of Soft Computing and Intelligent Methods in Geophysics

networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes;

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Soft Computing and its Engineering Applications

in fuzzy computing, neuro computing, and evolutionary computing.;

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Type 2 Fuzzy Neural Networks and Their Applications

with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing. It provides a self-contained exposition;

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Advances in Integrations of Intelligent Methods

, including neuro-symbolic methods, neuro-fuzzy methods, and methods combining rule-based and case-based reasoning. However, other combinations are;

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Advances in Integrations of Intelligent Methods

, including neuro-symbolic methods, neuro-fuzzy methods, and methods combining rule-based and case-based reasoning. However, other combinations are;

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Soft Computing and Its Applications, Volume One

This is volume 1 of the two-volume set Soft Computing and Its Applications. This volume explains the primary tools of soft computing as;

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Soft Computing and Its Applications, Volume One

This is volume 1 of the two-volume set Soft Computing and Its Applications. This volume explains the primary tools of soft computing as;

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Soft Computing and Its Applications, Volume Two

advanced features of soft computing, such as cognitive maps, complex valued fuzzy sets and fuzzy logic, quantum fuzzy sets and quantum fuzzy logic;

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Soft Computing and Its Applications, Volume Two

of soft computing, such as cognitive maps, complex valued fuzzy sets and fuzzy logic, quantum fuzzy sets and quantum fuzzy logic, and rough sets;

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Fundamentals of Soft Computing and Intelligent System

The book provides the basic concepts and engineering applications of soft computing. Soft computing is the state-of-the-art approach to;

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Advanced Fuzzy Logic Approaches in Engineering Science

problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and;

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Fuzzy Logic and Soft Computing Applications

This book constitutes the proceedings of the 11th International Workshop on Fuzzy Logic and Applications, WILF 2016, held in Naples, Italy;

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Soft Computing and Signal Processing

International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic;

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Soft Computing and Signal Processing

International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic;

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Soft Computing

, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem;

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Soft Computing In Systems And Control Technology

constituents of soft computing are fuzzy-logic-based computing, neurocomputing, and genetic algorithms. Fuzzy logic contributes the capability;

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Is 'Fuzzy Theory' an Appropriate Tool for Large Size Problems?

the membership value (x) in a fuzzy set or in an intuitionistic fuzzy set or in any such soft computing set model or in a crisp set. A new;

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Soft Computing and Signal Processing

The book presents selected research papers on current developments in the field of soft computing and signal processing from the;

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Soft Computing and Intelligent Systems

The field of soft computing is emerging from the cutting edge research over the last ten years devoted to fuzzy engineering and genetic;

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Concepts of Soft Computing

in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which;

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