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Title Artificial neural networks for engineering applications / edited by Alma Y. Alanis, Nancy Arana-Daniel and Carlos López-Franco.

Publication Info. St. Louis, Missouri : Elsevier, [2019]
©2019

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Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Description 1 online resource (xvii, 157 pages) : illustrations (some color)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Bibliography Includes bibliographical references and index.
Contents 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.
Note Online resource; title from PDF title page (EBSCO, viewed February 8, 2019).
Summary This book presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. -- Edited summary from book.
Subject Computer-aided engineering.
Engineering -- Computer simulation.
Signal processing.
Neural networks (Computer science)
Adaptive control systems.
Machine learning.
Genetic algorithms.
Bioinformatics.
Neuroinformatics.
Neural Networks, Computer
Computational Biology
Machine Learning
Ingénierie assistée par ordinateur.
Ingénierie -- Simulation par ordinateur.
Traitement du signal.
Réseaux neuronaux (Informatique)
Systèmes adaptatifs.
Apprentissage automatique.
Algorithmes génétiques.
Bio-informatique.
Neuro-informatique.
computer-aided engineering.
TECHNOLOGY & ENGINEERING -- Engineering (General)
Neuroinformatics
Engineering -- Computer simulation
Computer-aided engineering
Bioinformatics
Adaptive control systems
Genetic algorithms
Machine learning
Neural networks (Computer science)
Signal processing
Genre/Form Electronic books.
Added Author Alanis, Alma Y., editor.
Arana-Daniel, Nancy, editor.
Lopez-Franco, Carlos, editor.
Other Form: Print version: Artificial Neural Networks for Engineering Applications. St. Louis, Missouri : Elsevier, [2019] 0128182474 9780128182475 (OCoLC)1053992129
ISBN 9780128182482 (electronic bk.)
0128182482 (electronic bk.)
9780128182475
0128182474
Standard No. AU@ 000065024314
AU@ 000066128178
UKMGB 019250062

 
    
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