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Methodologies Of Using Neural Network And Fuzzy Logic Technologies For Motor Incipient Fault Detection

maturing technology of artificial neural network and fuzzy logic, the motor fault detection problem can be solved using an innovative approach;

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Multi model Jumping Systems Robust Filtering and Fault Detection

well as higher order moment and neural network-based fault detection methods for multi-model jumping systems, allowing them to grasp the;

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New Developments in Computer Networks

cluster; fuzzy-based controller for improvement of network performance; multi-layer perceptron artificial neural network; fault detection and;

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Soft Computing with NeuroFuzzy Systems

neuro-fuzzy inference system for optimal design of reinforced concrete beams; comparison between neural network and adaptive neuro-fuzzy;

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Parameter Identification for Induction Motor Drives

plant robust against parameter variations and disturbances. The soft computational methods such as Artificial Neural Networks and Fuzzy logic;

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Knowledge-Based Neurocomputing

integrates the merits of symbolic fuzzy rule-bases and sub-symbolic artificial neural networks, and yields a new approach for knowledge-based;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic;

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Prediction of Software Reliability Using Neural Network & Fuzzy Logic

reliability growth models in various applications. The reported results using neural networks and fuzzy logic can improve the software reliability;

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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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Renewable Energy and Future Power Systems

This book discusses advanced technologies for applications in renewable energy and power systems. The topics covered include neural network;

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Neural Fuzzy Control Systems With Structure And Parameter Learning

A general neural-network-based connectionist model, called Fuzzy Neural Network (FNN), is proposed in this book for the realization of a;

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Fuzzy Intelligent Systems - Methodologies, Techniques, and Applications

and innovative handling of problems. This book showcases the combination of fuzzy logic and neural networks known as a neuro-fuzzy system;

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Fault Detection and Flight Data Measurement

This book considers two popular topics: fault detection and isolation (FDI) and flight data estimation using flush air data sensing (FADS;

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Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids

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Edge Detection Methods Based on Generalized Type 2 Fuzzy Logic

, inter-val type-2 and generalized type-2 fuzzy systems as tools to enhance edge detection in digital images when used in conjunction with the;

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Fuzzy Modelling and Classification Applied

grey scale opposed to the black and white classic logic. The appearance of new innovative technologies, such as artificial intelligence, expert;

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Gas Turbine Diagnostics

Laplacian calculations A process of automating fault isolation using a bank of Kalman filters, fuzzy logic systems, neural networks, and genetic;

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Gas Turbine Diagnostics

calculations A process of automating fault isolation using a bank of Kalman filters, fuzzy logic systems, neural networks, and genetic fuzzy systems;

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Deep Neuro-Fuzzy Systems with Python

world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python. You'll start by walking through;

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New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks

monolithic neural networks, neural network with type-1 fuzzy weights and neural network with type-2 fuzzy weights are presented to illustrate the;

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Power Electronics and Motor Drives

operations. New content covers converters, machine models and new control methods such as fuzzy logic and neural network control. This reference will;

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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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Artificial Neural Networks

language, heart disease diagnosis utilizing hybrid fuzzy wavelet neural network, and hybrid neural network architecture for online learning;

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Neural Networks & Fuzzy-Logic Control On Personal Computers & Workstations + D3

, computer-readable notation for matrix operations and differential equations lets users create their own neural networks and fuzzy-logic controllers;

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Fault Detectability In Dwdm

, neural networks and fuzzy logic, control architectures, real-time multitasking, and complex VLSI design. He has led and managed teams in these;

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Uncertain Rule-Based Fuzzy Logic Systems

For courses in Neural Networks and Fuzzy Systems; Fuzzy Systems/Control; Fuzzy Logic.The first book of its kind, this text explains how all;

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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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