Semi empirical Neural Network Modeling and Digital Twins Development
  • Release Date : 23 November 2019
  • Publisher : Academic Press
  • Categories : Science
  • Pages : 288 pages
  • ISBN 13 : 9780128156520
  • ISBN 10 : 012815652X
Score: 4
From 245 Ratings
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Synopsis : Semi empirical Neural Network Modeling and Digital Twins Development written by Dmitriy Tarkhov, published by Academic Press which was released on 23 November 2019. Download Semi empirical Neural Network Modeling and Digital Twins Development Books now! Available in PDF, EPUB, Mobi Format. Semi-empirical Neural Network Modeling presents a new approach on how to quickly construct an accurate, multilayered neural network solution of differential equations. Current neural network methods have significant disadvantages, including a lengthy learning process and single-layered neural networks built on the finite element method (FEM). The strength of the new method presented in this book is the automatic inclusion of task parameters in the final solution formula, which eliminates the need for repeated problem-solving. This is especially important for constructing individual models with unique features. The book illustrates key concepts through a large number of specific problems, both hypothetical models and practical interest. Offers a new approach to neural networks using a unified simulation model at all stages of design and operation Illustrates this new approach with numerous concrete examples throughout the book Presents the methodology in separate and clearly-defined stages