Artificial Neural Networks for Engineering Applications

1. Hierarchical Dynamic Neural Networks for Cascade System Modeling with Application to Wastewater Treatment<br>2. Hyperellipsoidal Neural Network trained with Extended Kalman Filter for forecasting of time series<br>3. Neural networks: a methodology for modeling and control design of dynamical systems<br>4. Continuous–Time Decentralized Neural Control of a Quadrotor UAV<br>5. Support Vector Regression for digital video processing<br>6. Artificial Neural Networks Based on Nonlinear Bioprocess Models for Predicting Wastewater Organic Compounds and Biofuels Production<br>7. Neural Identification for Within-Host Infectious Disease Progression<br>8. Attack Detection and Estimation for Cyber-physical Systems by using Learning Methodology<br>9. Adaptive PID Controller using a Multilayer Perceptron Trained with the Extended Kalman Filter for an Unmanned Aerial Vehicle<br>10. Sensitivity Analysis with Artificial Neural Networks for Operation of Photovoltaic Systems<br>11. Pattern Classification and its Applications to Control of Biomechatronic Systems