By Neha Yadav,Anupam Yadav,Manoj Kumar
This ebook introduces numerous neural community tools for fixing differential equations coming up in technology and engineering. The emphasis is put on a deep realizing of the neural community ideas, which has been awarded in a typically heuristic and intuitive demeanour. This procedure will permit the reader to appreciate the operating, potency and shortcomings of every neural community process for fixing differential equations. The target of this booklet is to supply the reader with a legitimate knowing of the rules of neural networks and a entire advent to neural community equipment for fixing differential equations including contemporary advancements within the strategies and their applications.
The ebook contains 4 significant sections. part I comprises a short evaluate of differential equations and the correct actual difficulties coming up in technology and engineering. part II illustrates the heritage of neural networks ranging from their beginnings within the Forties via to the renewed curiosity of the Eighties. A normal 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 several neural community tools for fixing differential equations are brought, together with dialogue of the latest advancements within the field.
Advanced scholars and researchers in arithmetic, computing device technological know-how and diverse disciplines in technology and engineering will locate this publication a precious reference source.
Read or Download An Introduction to Neural Network Methods for Differential Equations (SpringerBriefs in Applied Sciences and Technology) PDF
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