Artificial Neural Networks for Engineering Applications

Alma Y. Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco ... 176 pages - Publisher: Academic Press; (February, 2019) ... Language: English - ASIN: B07NGPX9MF by Amazon.

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

Artificial Neural Networks for Engineering Applications, Alma Y. Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco

... Engineering is an interesting and vast field. New technologies are discovered or invented every day, and the older ones must get updated In the past, engineers used to search libraries or go through various books to keep up with the recent technological advancements or find the solution to various problems. Nowadays, it is possible to do so with the help of just one click.

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