logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Semi-empirical Neural Network Modeling and Digital Twins Development by Dmitriy Tarkhov, T. V. Lazovskaya, Alexander Nikolayevich Vasilyev ISBN 9780128156513, 0128156511

  • SKU: EBN-11047180
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

0.0

0 reviews
Instant download (eBook) Semi-empirical Neural Network Modeling and Digital Twins Development after payment.
Authors:Dmitriy Tarkhov, T. V. Lazovskaya, Alexander Nikolayevich Vasilyev
Pages:320 pages.
Year:2019
Editon:1
Publisher:Academic Pr
Language:english
File Size:6.91 MB
Format:pdf
ISBNS:9780128156513, 0128156511
Categories: Ebooks

Product desciption

(Ebook) Semi-empirical Neural Network Modeling and Digital Twins Development by Dmitriy Tarkhov, T. V. Lazovskaya, Alexander Nikolayevich Vasilyev ISBN 9780128156513, 0128156511

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 operationIllustrates this new approach with numerous concrete examples throughout the bookPresents the methodology in separate and clearly-defined stages
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products