Artificial Neural Networks for Engineering Applications

By: Arana-Daniel, Alanis, Lopez-Franco

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Paperback | 13 February 2019 | Edition Number 1

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176 Pages

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23.5 x 19.05 x 0.97

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Artificial Neural Networks for Engineering Applications presents the current trends for the solution of complex engineering problems that cannot be solved through conventional methods, using artificial neural networks. The methodologies include real-life scenarios where a wide range of artificial neural network architectures can be used to solve the problems encountered in engineering.

The proposed methodologies can be applied to: modeling, pattern recognition, classification, forecasting, estimation, and more. Through fourteen chapters the reader can 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, among others. 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, using artificial neural networks
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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