By Neha Yadav,Anupam Yadav,Manoj Kumar
This publication introduces various neural community equipment for fixing differential equations bobbing up in technological know-how and engineering. The emphasis is put on a deep realizing of the neural community innovations, which has been awarded in a normally heuristic and intuitive demeanour. This strategy will allow the reader to appreciate the operating, potency and shortcomings of every neural community method for fixing differential equations. The target of this booklet is to supply the reader with a legitimate realizing of the principles of neural networks and a accomplished creation to neural community tools for fixing differential equations including contemporary advancements within the innovations and their applications.
The booklet contains 4 significant sections. part I contains a quick evaluation of differential equations and the correct actual difficulties coming up in technological know-how and engineering. part II illustrates the historical past of neural networks ranging from their beginnings within the Nineteen Forties via to the renewed curiosity of the Eighties. A basic advent to neural networks and studying applied sciences is gifted in part III. This part additionally comprises the outline of the multilayer perceptron and its studying equipment. In part IV, the various neural community equipment for fixing differential equations are brought, together with dialogue of the newest advancements within the field.
Advanced scholars and researchers in arithmetic, desktop technological know-how and numerous disciplines in technological know-how and engineering will locate this booklet a beneficial reference source.
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Extra info for An Introduction to Neural Network Methods for Differential Equations (SpringerBriefs in Applied Sciences and Technology)
An Introduction to Neural Network Methods for Differential Equations (SpringerBriefs in Applied Sciences and Technology) by Neha Yadav,Anupam Yadav,Manoj Kumar