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Deep Neuro-Fuzzy Systems with Python

model, Hybrid model, genetic algorithms, and approximations Apply Python implementations of deep neuro fuzzy system;

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Soft Computing with NeuroFuzzy Systems

in multiline power system; controlling speed of dc motor with fuzzy controller in comparison with ANFIS controller; a neuro-fuzzy controller for;

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Fuzzy and Neuro-Fuzzy Systems in Medicine

Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains;

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Fuzzy and Neuro-Fuzzy Systems in Medicine

Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains;

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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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Fuzzy Information Processing

, neuro-fuzzy systems, fuzzy control systems, fuzzy modeling, fuzzy mathematical morphology, fuzzy dynamical systems, time series forecasting, and;

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Soft Computing

with asymmetrical triangular fuzzy numbers (TrFNs). Chapter Two examines the determination of stability number of layered slope using Adaptive;

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Computational Intelligence

the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy;

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Fuzzy Neural Intelligent Systems

networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing;

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Neuro-Fuzzy Equalizers for Mobile Cellular Channels

Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a;

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Neuro-Fuzzy Equalizers for Mobile Cellular Channels

Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a;

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EMG Signals Characterization in Three States of Contraction by Fuzzy Network and

neuro-fuzzy system is trained with 70 percent of the recorded Electromyography (EMG) cut off window and then used for classification and;

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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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Congress on Intelligent Systems

learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.;

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Congress on Intelligent Systems

learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro fuzzy systems.;

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Fuzzy Intelligent Systems - Methodologies, Techniques, and Applications

current and future, need systematic training in the analytic theory and rigorous design of fuzzy control systems to keep up with and advance the;

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Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance

recommenders is outlined within the background of neuro-fuzzy systems. In turn, various novel recommenders are proposed, each characterized by;

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Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping

This thesis presents a novel neuro-fuzzy modeling approach for grasp neuroprostheses. At first, it offers a detailed study of discomfort;

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Advanced Fuzzy Logic Approaches in Engineering Science

apprehension in modern years due to high-tech industrial processes with ever-increasing levels of complexity. Advanced Fuzzy Logic Approaches;

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Type 2 Fuzzy Neural Networks and Their Applications

This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination;

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Deep Learning with Python

recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python;

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

computing with words, such as uncertain computation, decision-making under imperfect information, neuro-fuzzy approaches, deep learning, natural;

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Advances in Integrations of Intelligent Methods

can be more easily solved with integrated or hybrid methods, such as combinations of different soft computing methods (fuzzy logic, neural;

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Advances in Integrations of Intelligent Methods

can be more easily solved with integrated or hybrid methods, such as combinations of different soft computing methods (fuzzy logic, neural;

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Modelling, Simulation and Control of Non-linear Dynamical Systems

is presented. It is illustrated with examples on the PROLOG programming language. Second, a new fuzzy-genetic approach to automated simulation;

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Intelligent Systems for Engineers and Scientists: A Practical Guide to Artificial Intelligence

, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), agents, objects, frames, symbolic learning, case-based reasoning, genetic;

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Intelligent Systems for Engineers and Scientists

, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), agents, objects, frames, symbolic learning, case-based reasoning, genetic;

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