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Titlebook: An Introduction to Neural Network Methods for Differential Equations; Neha Yadav,Anupam Yadav,Manoj Kumar Book 2015 The Author(s) 2015 Cel

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發(fā)表于 2025-3-21 18:09:17 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱An Introduction to Neural Network Methods for Differential Equations
影響因子2023Neha Yadav,Anupam Yadav,Manoj Kumar
視頻videohttp://file.papertrans.cn/156/155390/155390.mp4
發(fā)行地址Includes supplementary material:
學科分類SpringerBriefs in Applied Sciences and Technology
圖書封面Titlebook: An Introduction to Neural Network Methods for Differential Equations;  Neha Yadav,Anupam Yadav,Manoj Kumar Book 2015 The Author(s) 2015 Cel
影響因子.This book introduces a variety of neural network methods for solving differential equations arising in science and engineering. The emphasis is placed on a deep understanding of the neural network techniques, which has been presented in a mostly heuristic and intuitive manner. This approach will enable the reader to understand the working, efficiency and shortcomings of each neural network technique for solving differential equations.?The objective of this book is to provide the reader with a sound understanding of the foundations of neural networks and a comprehensive introduction to neural network methods for solving differential equations together with recent developments in the techniques and their applications..The book comprises four major sections. Section I consists of a brief overview of differential equations and the relevant physical problems arising in science and engineering. Section II illustrates the history of neural networks starting from their beginnings in the 1940s through to the renewed interest of the 1980s. A general introduction to neural networks and learning technologies is presented in Section III. This section also includes the description of the multil
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Preliminaries of Neural Networks,etwork in terms of activation functions. Different architectures of neural network like feed forward, feed backward, radial basis function network, multilayer perceptron neural network and cellular network etc., is described. Backpropagation and other training algorithms have been also discussed in
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Preliminaries of Neural Networks,etwork in terms of activation functions. Different architectures of neural network like feed forward, feed backward, radial basis function network, multilayer perceptron neural network and cellular network etc., is described. Backpropagation and other training algorithms have been also discussed in this chapter.
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Abg?nge aus Gerbereien und Lederf?rbereienn equation which involves the derivatives of an unknown function represented by a dependent variable. It expresses the relationship involving the rates of change of continuously changing quantities modeled by functions and are used whenever a rate of change (derivative) is known. A brief introductio
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