Author: Alma Y. Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco
Date: February 27, 2019
Publisher: Academic Press
Posted on 2019-06-12, by dtPower.
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
- Ebooks list page : 40643
- 2011-08-30Artificial Neural Networks for Civil Engineers: Fundamentals and Applications
- 2017-12-16[PDF] Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics (Springer Series in Bio-/Neuroinformatics)
- 2017-11-16[PDF] Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes (Lecture Notes in Control and Information Sciences)
- 2017-10-28[PDF] Artificial Neural Networks: Methods and Applications (Methods in Molecular Biology)
- 2017-10-17[PDF] Recent Advances in Artificial Neural Networks: Design and Applications
- 2013-01-17"Artificial Neural Networks: Architectures and Applications" ed. by Kenji Suzuki
- 2011-05-04Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes by Krzysztof Patan (Repost)
- 2010-08-19Artificial Neural Networks: Methods and Applications
- 2010-08-18Artificial Neural Networks: Methods and Applications (Methods in Molecular Biology, Vol. 458)
- 2009-07-15Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes (reload)
- 2009-07-14Recent Advances in Artificial Neural Networks: Design and Applications
- 2017-04-06[PDF] Engineering Applications of FPGAs: Chaotic Systems, Artificial Neural Networks, Random Number Generators, and Secure Communication Systems - Removed
- 2011-05-18Artificial Neural Networks - Industrial and Control Engineering Applications
- 2011-04-13Artificial Neural Networks - Industrial and Control Engineering Applications
- 2019-06-19Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition
- 2018-12-16Neural Networks for Robotics : An Engineering Perspective
- 2018-07-07Deep Learning Architecture for Building Artificial Neural Networks
- 2018-06-30Deep Learning Architecture for Building Artificial Neural Networks
- 2018-01-16[PDF] Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning
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