Table of contents :
1. Hierarchical Dynamic Neural Networks for Cascade System Modeling with Application to Wastewater Treatment
2. Hyperellipsoidal Neural Network trained with Extended Kalman Filter for forecasting of time series
3. Neural networks: a methodology for modeling and control design of dynamical systems
4. Continuous–Time Decentralized Neural Control of a Quadrotor UAV
5. Support Vector Regression for digital video processing
6. Artificial Neural Networks Based on Nonlinear Bioprocess Models for Predicting Wastewater Organic Compounds and Biofuels Production
7. Neural Identification for Within-Host Infectious Disease Progression
8. Attack Detection and Estimation for Cyber-physical Systems by using Learning Methodology
9. Adaptive PID Controller using a Multilayer Perceptron Trained with the Extended Kalman Filter for an Unmanned Aerial Vehicle
10. Sensitivity Analysis with Artificial Neural Networks for Operation of Photovoltaic Systems
11. Pattern Classification and its Applications to Control of Biomechatronic Systems
Citation preview
Artificial Neural Networks for Engineering Applications
Artificial Neural Networks for Engineering Applications Edited by Alma Y. Alanis Nancy Arana-Daniel Carlos López-Franco University of Guadalajara, CUCEI Computer Science Department Guadalajara, Mexico
3251 Riverport Lane St. Louis, Missouri 63043 Artificial Neural Networks for Engineering Applications
ISBN: 978-0-12-818247-5
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