Screen LibraryArtificial neural networks for engineering applications /
This book presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. --
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| Corporate Authors: | |
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| Group Author: | ; ; |
| Published: |
Elsevier,
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| Publisher Address: | St. Louis, Missouri : |
| Publication Dates: | [2019] |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
https://www.sciencedirect.com/science/book/9780128182475 |
| Summary: |
This book presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. -- |
| Carrier Form: | 1 online resource (xvii, 157 pages) : illustrations (some color) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9780128182482 0128182482 |
| Index Number: | TA345 |
| CLC: | TP391.7 |
| Contents: |
Hierarchical dynamic neural networks for cascade system modeling with application to wastewater treatment / Hyperellipsoidal neural network trained with extended Kalman filter for forecasting of time series / Neural networks: a methodology for modeling and control design of dynamical systems / Continuous-time decentralized neural control of a quadrotor UAV / Adaptive PID controller using a multilayer perceptron trained with the extended Kalman filter for an unmanned aerial vehicle / Support vector regression for digital video processing / Artificial neural networks based on nonlinear bioprocess models for predicting wastewater organic compounds and biofuels production / Learning-based Identification of viral Infection dynamics / Attack detection and estimation for cyber-physical systems by using learning methodology / Sensitivity analysis with artificial neural networks for operation of photovoltaic systems / Pattern classification and its applications to control of biomechatronic systems / |