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Titlebook: Neural Networks and Learning Algorithms in MATLAB; Ardashir Mohammadazadeh,Mohammad Hosein Sabzalian, Book 2022 The Editor(s) (if applicab

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發(fā)表于 2025-3-21 18:51:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Neural Networks and Learning Algorithms in MATLAB
編輯Ardashir Mohammadazadeh,Mohammad Hosein Sabzalian,
視頻videohttp://file.papertrans.cn/664/663706/663706.mp4
概述Explains the ins and outs of neural networks in a simple unified approach with clear examples and simulations in MATLAB.Serves as a main reference for graduate and undergraduate courses in neural netw
叢書名稱Synthesis Lectures on Intelligent Technologies
圖書封面Titlebook: Neural Networks and Learning Algorithms in MATLAB;  Ardashir Mohammadazadeh,Mohammad Hosein Sabzalian, Book 2022 The Editor(s) (if applicab
描述.This book explains the basic concepts, theory and applications of neural networks in a simple unified approach with clear examples and simulations in the MATLAB programming language. The scripts herein are coded for general purposes to be easily extended to a variety of problems in different areas of application. They are vectorized and optimized to run faster and be applicable to high-dimensional engineering problems. This book will serve as a main reference for graduate and undergraduate courses in neural networks and applications. This book will also serve as a main basis for researchers dealing with complex problems that require neural networks for finding good solutions in areas, such as time series prediction, intelligent control and identification. In addition, the problem of designing neural network by using metaheuristics, such as the genetic algorithms and particle swarm optimization, with one objective and with multiple objectives, is presented..
出版日期Book 2022
關(guān)鍵詞Computational Intelligence; Artificial Intelligence; Time Series Prediction; Intelligent Control and Id
版次1
doihttps://doi.org/10.1007/978-3-031-14571-1
isbn_softcover978-3-031-14573-5
isbn_ebook978-3-031-14571-1Series ISSN 2731-6912 Series E-ISSN 2731-6920
issn_series 2731-6912
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Designing Neural-Fuzzy PID Controller Through Multiobjective Optimization,–derivative, each of which has its gains. If these gains are properly selected, they can obtain the proper?solution from the system under control; however, if they are not properly selected, they lead to poor system performance and, as a result, to?instability.
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Ardashir Mohammadazadeh,Mohammad Hosein Sabzalian,Explains the ins and outs of neural networks in a simple unified approach with clear examples and simulations in MATLAB.Serves as a main reference for graduate and undergraduate courses in neural netw
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Multilayer Perceptron (MLP) Neural Networks,The simplest type of neuron modeling is the perceptron. Since it is difficult to analyze several perceptron types in different layers, we will begin examining one perceptron.
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