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 Physical Metallurgy by
Cover of the book Thermoplastics and Thermoplastic Composites by
Cover of the book The IT Regulatory and Standards Compliance Handbook by
Cover of the book Rotational Molding Technology by
Cover of the book International Review of Cytology by
Cover of the book Stretch Blow Molding by
Cover of the book The Best Damn Windows Server 2008 Book Period by
Cover of the book Analytical Solution Methods for Boundary Value Problems by
Cover of the book Wireless Communications & Networking by
Cover of the book Security and Loss Prevention by
Cover of the book Introduction to Aerospace Materials by
Cover of the book Digital Holographic Data Representation and Compression by
Cover of the book Wills' Mineral Processing Technology by
Cover of the book Characterization of Nanomaterials by
Cover of the book Natural Product Biosynthesis by Microorganisms and Plants, Part A 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