Artificial neural networks for engineering applications
Hierarchical dynamic neural networks for cascade system modeling with application to wastewater treatment /Wen Yu, Daniel Carillo --Hyperellipsoidal neural network trained with extended Kalman filter for forecasting of time series /Carlos Villaseñor --Neural networks: a methodology for modeling and...
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Format: | UnknownFormat |
Sprache: | eng |
Veröffentlicht: |
St. Louis, Missouri
Elsevier
2019
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Schlagworte: | |
Online Zugang: | Inhaltsverzeichnis |
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Zusammenfassung: | Hierarchical dynamic neural networks for cascade system modeling with application to wastewater treatment /Wen Yu, Daniel Carillo --Hyperellipsoidal neural network trained with extended Kalman filter for forecasting of time series /Carlos Villaseñor --Neural networks: a methodology for modeling and control design of dynamical systems /Fernando Ornelas-Tellez, J. Jesus Rico-Melgoza, Angel E. Villafuerte, Febe J. Zavala-Mendoza --Continuous-time decentralized neural control of a quadrotor UAV /Francisco Jurado, Sergio Lopez --Adaptive PID controller using a multilayer perceptron trained with the extended Kalman filter for an unmanned aerial vehicle /Javier Gomez-Avila --Support vector regression for digital video processing /Gehová López-González --Artificial neural networks based on nonlinear bioprocess models for predicting wastewater organic compounds and biofuels production /Kelly J. Gurubel, Edgar N. Sanchez, Rafael González, Hugo Coss y León, Rozana Recio --Learning-based Identification of viral Infection dynamics /Gustavo Hernandez-Mejia, Esteban A. Hernandez-Vargas --Attack detection and estimation for cyber-physical systems by using learning methodology /Haifeng Niu, C. Bhowmick, S. Jagannathan --Sensitivity analysis with artificial neural networks for operation of photovoltaic systems /O. May Tzuc, A. Bassam, L.J. Ricalde, E. Cruz May --Pattern classification and its applications to control of biomechatronic systems /Victor H. Benitez. |
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Beschreibung: | Includes bibliographical references and index Verlagsangabe auf dem Einband: Academic Press, an imprint of Elsevier |
Beschreibung: | xvii, 157 Seiten Illustrationen, Diagramme 24 cm |
ISBN: | 9780128182475 978-0-12-818247-5 0128182474 0-12-818247-4 |