By Neha Yadav,Anupam Yadav,Manoj Kumar
This publication introduces a number of neural community equipment for fixing differential equations coming up in technological know-how and engineering. The emphasis is put on a deep knowing of the neural community recommendations, which has been awarded in a as a rule heuristic and intuitive demeanour. This strategy will let the reader to appreciate the operating, potency and shortcomings of every neural community method for fixing differential equations. The aim of this e-book is to supply the reader with a legitimate realizing of the rules of neural networks and a finished advent to neural community equipment for fixing differential equations including contemporary advancements within the innovations and their applications.
The booklet contains 4 significant sections. part I includes a short review of differential equations and the suitable actual difficulties bobbing up in technological know-how and engineering. part II illustrates the historical past of neural networks ranging from their beginnings within the Forties via to the renewed curiosity of the Eighties. A basic creation to neural networks and studying applied sciences is gifted in part III. This part additionally contains the outline of the multilayer perceptron and its studying tools. In part IV, different neural community tools for fixing differential equations are brought, together with dialogue of the newest advancements within the field.
Advanced scholars and researchers in arithmetic, machine technology and numerous disciplines in technology and engineering will locate this e-book a important 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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Additional resources 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