Artificial Neural Networks for Engineering Applications

Nonfiction, Science & Nature, Science, Biological Sciences, Biotechnology, Technology, Engineering, Health & Well Being, Medical
Cover of the book Artificial Neural Networks for Engineering Applications by , Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9780128182482
Publisher: Elsevier Science Publication: February 7, 2019
Imprint: Academic Press Language: English
Author:
ISBN: 9780128182482
Publisher: Elsevier Science
Publication: February 7, 2019
Imprint: Academic Press
Language: English

Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications.

  • Presents the current trends for the solution of complex engineering problems that cannot be solved through conventional methods
  • Includes real-life scenarios where a wide range of artificial neural network architectures can be used to solve the problems encountered in engineering
  • Contains all the theory required to use the proposed methodologies for different applications
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications.

More books from Elsevier Science

Cover of the book ODE/PDE α-synuclein Models for Parkinson’s Disease by
Cover of the book An Introduction To Solar Radiation by
Cover of the book Synthetic Peptides as Antigens by
Cover of the book Immune Rebalancing by
Cover of the book Customer Service in Academic Libraries by
Cover of the book Interpretation of the Ultraviolet Spectra of Natural Products by
Cover of the book Advances in Organometallic Chemistry by
Cover of the book Fundamental Aspects of Dislocation Interactions by
Cover of the book Nanoencapsulation of Food Bioactive Ingredients by
Cover of the book Distributed Computing Through Combinatorial Topology by
Cover of the book Advances in Neuropharmacology by
Cover of the book Cell Phone Location Evidence for Legal Professionals by
Cover of the book Video Coding for Mobile Communications by
Cover of the book Functional Dietary Lipids by
Cover of the book Advances in Marine Biology by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy