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Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

systems. Application of Signal Processing Tools and Neural Network in Diagnosis of Power System Faults examines power system faults and;

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Artificial Neural Networks - ICANN 2009

and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing;

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Handbook of Neural Network Signal Processing

applications in this new area. The Handbook of Neural Network Signal Processing provides this much needed service for all engineers and scientists;

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Power System Fault Diagnosis

illustrates intelligent fault diagnosis schemes for power system networks, at both transmission and distribution levels, using data acquired from;

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Digital Signal Processing in Power System Protection and Control

control. Fuzzy logic based schemes, artificial neural networks, expert systems and genetic algorithms with their advantages and drawbacks are;

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Intelligent Signal Processing

, including Neural Networks and Fuzzy Systems, Neural Networks for Signal Processing (Publisher, copyright date) and Fuzzy Thinking (Publisher;

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Artificial Neural Networks

functional reorganization. Section 2 focuses on the application of artificial neural networks in forecasting and prediction, describing: sales;

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Power Systems Signal Processing for Smart Grids

current state of the art and to develop new tools. It presents: * an overview on the power system and electric signals, with description of the;

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New Developments in Computer Networks

diagnosis in a distillation column by MLP neural networks and generic architecture for artificial neural networks.;

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Intelligent System Applications In Power Engineering

techniques in electric power systems. It provides a treatment of evolutionary programming and neural network applications to power system;

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Intelligent Computing Theories and Application

; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal;

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Intelligent Computing Theories and Application

; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal;

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Mathematical Tools In Signal Processing With C++ And Java Simulations

systems, encompassing standard mathematical tools as well as newer techniques such as wavelets and neural networks. C++ and Java implementations;

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Electrical Machines Diagnosis

. Diagnosis of faults occurring in electrical drives is an essential part of a global monitoring system used to improve reliability and serviceability;

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Bio-Informatic Systems, Processing and Applications

of emerging smart techniques using artificial intelligence for diagnosis, bio-informatics data analysis and biomedical systems. It details innovative;

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Multilayer Perceptrons

Multilayer Perceptrons: Theory and Applications opens with a review of research on the use of the multilayer perceptron artificial neural;

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Advances in Computational Intelligence

; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and;

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Advances in Computational Intelligence

; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and;

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Artificial Neural Network Modeling of Water & Wastewater Treatments Processes

the application of artificial neural networks for modelling of water and wastewater treatment processes.;

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Artificial Neural Network Applications in Business and Engineering

intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications;

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Artificial Neural Network Applications in Business and Engineering

intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications;

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Artificial Neural Networks

This current book provides new research on artificial neural networks (ANNs). Topics discussed include the application of ANNs in chemistry;

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Biomedical Signal Processing and Artificial Intelligence in Healthcare

Learning, Neural Networks, and the implications of the expansion of artificial intelligence is covered. Biomedical Images are also introduced and;

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Building Neural Networks

network applications, the book demonstrates the construction and operation of artificial neural systems. Through numerous examples, the author;

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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems

The focus of this book is the application of artificial neural networks in uncertain dynamical systems. It explains how to use neural;

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Artificial Neural Networks in Biological and Environmental Analysis

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;

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Artificial Neural Networks in Biological and Environmental Analysis

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;

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