Description

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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

Artificial Neural Networks for Engineering

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    Order before 4pm tomorrow for delivery by Wed 10 Jun 2026.

    A Paperback by Alma Y. Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco

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      View other formats and editions of Artificial Neural Networks for Engineering by Alma Y. Alanis

      Publisher: Elsevier Science
      Publication Date: 2/13/2019 12:00:00 AM
      ISBN13: 9780128182475, 978-0128182475
      ISBN10: 0128182474
      Also in:
      Computing Neural networks and fuzzy systems Biomedical engineering / Medical engineering

      Description

      Book Synopsis


      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

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