Artificial Neural Networks for Engineering Applications 1st Edition by Alma Y Alanis, Nancy Arana Daniel, Carlos Lopez Franco ISBN 9780128182475 0128182474

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Product details:

ISBN 10: 0128182474

ISBN 13: 9780128182475

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

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

Table of contents: 

Chapter 1 – Hierarchical Dynamic Neural Networks for Cascade System Modeling With Application to Wastewater Treatment
Chapter 2 – Hyperellipsoidal Neural Network Trained With Extended Kalman Filter for Forecasting of Time Series
Chapter 3 – Neural Networks: A Methodology for Modeling and Control Design of Dynamical Systems
Chapter 4 – Continuous-Time Decentralized Neural Control of a Quadrotor UAV
Chapter 5 – Adaptive PID Controller Using a Multilayer Perceptron Trained With the Extended Kalman Filter for an Unmanned Aerial Vehicle
Chapter 6 – Support Vector Regression for Digital Video Processing
Chapter 7 – Artificial Neural Networks Based on Nonlinear Bioprocess Models for Predicting Wastewater Organic Compounds and Biofuel Production
Chapter 8 – Learning-Based Identification of Viral Infection Dynamics
Chapter 9 – Attack Detection and Estimation for Cyber-Physical Systems by Using Learning Methodology
Chapter 10 – Sensitivity Analysis With Artificial Neural Networks for Operation of Photovoltaic Systems
Chapter 11 – Pattern Classification and Its Applications to Control of Biomechatronic Systems

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Tags: Alma Y Alanis, Nancy Arana Daniel, Carlos Lopez Franco, Artificial Neural Networks, Engineering Applications