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
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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.

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