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Can I read Artificial Neural Networks for Engineering Applications on EtoBox?
Artificial Neural Networks for Engineering Applications by Alma Y. Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco is a nonfiction available to read on EtoBox.
What is Artificial Neural Networks for Engineering Applications about?
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
Who reads Artificial Neural Networks for Engineering Applications?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Alma Y. Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco
- Publisher
- Elsevier Science & Technology; Academic Press
- Published
- 2019
- Language
- EN
- ISBN
- 9780128182475
- Category
- nonfiction
- Subjects
- Science, Technology, Engineering
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