Open access peer-reviewed Edited Volume

Artificial Neural Networks - Recent Advances, New Perspectives and Applications

Book metrics overview

837 Chapter Downloads

View Full Metrics

Academic Editor

Patrick Chi Leung Hui
Patrick Chi Leung Hui

Hong Kong Polytechnic University,
China

Series Editor

Andries Engelbrecht
Andries Engelbrecht

Stellenbosch University,
South Africa

Published25 January 2023

Doi10.5772/intechopen.100662

ISBN978-1-83768-222-5

Print ISBN978-1-83769-994-0

eBook (PDF) ISBN978-1-83768-223-2

Copyright year2023

Number of pages154

Part of the book seriesArtificial Intelligence

Issn2633-1403

This book examines artificial neural networks (ANNs) and their applications in various fields. Chapters address ANNs and deep learning techniques for real-world applications in health care, materials processing, energy management, and more.

Order Print Copy

Edited Volume and chapters are indexed in

  • Google Scholar
  • DOAB
  • Crossref
  • Dimension
  • OpenAIRE
  • AZ ebsco
  • Worldcat
Show more

Table of Contents

Open access  chapters

135
4. Industrial Fluids Components Health Management Using Deep Learning

By Vidyadevi G. Biradar, H.C. Nagaraj, S.G. Mohan and Piyush Kumar Pareek

75
7
6. Optical Soliton Neural Networks

By Eugenio Fazio, Alessandro Bile and Hamed Tari

106
201
57

IMPACT OF THIS BOOK AND ITS CHAPTERS

837 Total Chapter Downloads

7 Crossref Citations

12 Dimensions Citations

1 Altmetric Score

Order a print copy of this book

£119 (ex. VAT)*

Hardcover | Printed Full Colour

IntechOpen Contributor? Get your Discount

FREE SHIPPING WORLDWIDE

Order & Delivery info

* Residents of European Union countries need to add a Book Value-Added Tax Rate based on their country of residence. Institutions and companies, registered as VAT taxable entities in their own EU member state, will not pay VAT by providing IntechOpen with their VAT registration number. This is made possible by the EU reverse charge method.

Instructor? Request an Exam Copy