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Neural Networks & Fuzzy-Logic Control On Personal Computers & Workstations + D3
algorithms with pulldown menus. This hands-on tutorial demonstrates both neural networks and fuzzy-logic control with a different approach. A natural;
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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine
applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications;
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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine
applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications;
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Computational Intelligence
Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the;
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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms
We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid;
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Neuro-fuzzy Control of Industrial Systems with Actuator Nonlinearities
with complicated nonlinear actuator dynamics. This book brings neural networks and fuzzy logic together with dynamical control systems. Each;
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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms
Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a;
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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing
This book describes recent advances on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and;
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Fuzzy Logic and Neural Networks
In this title, fuzzy logic and neural networks have been discussed in detail through illustrative examples, methods and generic;
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Artificial Intelligence for Smarter Power Systems
book focuses on the use of fuzzy logic and neural networks to control power grids and adapt them to changing requirements. Chapters cover fuzzy;
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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools
decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient. Fuzzy logic together with multi;
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Deep Neuro-Fuzzy Systems with Python
Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current;
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Fuzzy Logic Augmentation of Neural and Optimization Algorithms Theoretical Aspe
This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their;
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Artificial Intelligence and Expert Systems
engineering, expert systems, neural networks, and fuzzy logic, etc. The book has been structured into five parts with an emphasis on expert systems;
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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number
equations There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems. Fuzzy logic theory;
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Intelligent Adaptive Control: Industrial Applications
application of intelligent control, particularly employing fuzzy logic, neural networks, and evolutionary computing.;
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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms
This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent;
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Fuzzy Neural Intelligent Systems
Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development;
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Understanding Neural Networks And Fuzzy Logic
presented in this book provide excellent tools for progressive learning. UNDERSTANDING NEURAL NETWORKS AND FUZZY LOGIC offers a simple presentation;
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Uncertain Rule-Based Fuzzy Logic Systems
For courses in Neural Networks and Fuzzy Systems; Fuzzy SystemsControl; Fuzzy Logic.The first book of its kind, this text explains how all;
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Neural Networks and Fuzzy Logic
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Fuzzy Intelligent Systems - Methodologies, Techniques, and Applications
rapidly evolving field of applied control technologies. As a consequence, expert systems with fuzzy logic capabilities make for a more versatile;
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Fuzzy Neural Networks for Real Time Control Applications
> Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks;
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Knowledge-Based Neurocomputing
that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that;
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Systems and Control
chaotic systems. Systems and Control covers classical methods as well as the techniques of modern control engineering such as fuzzy logic, neural;
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Mechatronic System Control, Logic, and Data Acquisition
control and neural networks and fuzzy systems Includes discussions of design optimization for mechatronic systems and real-time monitoring and;
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