By Neha Yadav,Anupam Yadav,Manoj Kumar
This publication introduces various neural community equipment for fixing differential equations bobbing up in technology and engineering. The emphasis is put on a deep realizing of the neural community suggestions, which has been awarded in a typically heuristic and intuitive demeanour. This method will let the reader to appreciate the operating, potency and shortcomings of every neural community method for fixing differential equations. The goal of this ebook is to supply the reader with a legitimate realizing of the principles of neural networks and a accomplished advent to neural community equipment for fixing differential equations including fresh advancements within the strategies and their applications.
The booklet contains 4 significant sections. part I involves a short evaluation of differential equations and the proper actual difficulties bobbing up in technology 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 normal creation 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 tools. In part IV, the several 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, machine technological know-how and numerous disciplines in technological know-how and engineering will locate this ebook a invaluable reference source.
Read Online or Download An Introduction to Neural Network Methods for Differential Equations (SpringerBriefs in Applied Sciences and Technology) PDF
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