Artificial Neural Networks for Engineering Applications


Author: Alma Y. Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco

Date: February 27, 2019

ISBN: 0128182474

Pages: 176

Language: English

Publisher: Academic Press

Category: Technical


Posted on 2019-06-12, by dtPower.

Description

Artificial Neural Networks for Engineering Applications

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

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