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Artificial neural networks for engineering applications /
This book presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. --
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
St. Louis, Missouri :
Elsevier,
[2019]
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | SCIDIR_on1084727093 | ||
| 003 | OCoLC | ||
| 005 | 20231120010339.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 190207t20192019moua ob 001 0 eng d | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d N$T |d YDX |d EBLCP |d OPELS |d UKMGB |d OCLCQ |d OCLCF |d XII |d OCL |d SNM |d OCLCQ |d COO |d OCLCQ |d BRF |d OCLCQ |d OCLCO |d K6U |d OCLCQ |d BRX |d OCLCQ |d OCLCO | ||
| 016 | 7 | |a 019250062 |2 Uk | |
| 019 | |a 1085219052 | ||
| 020 | |a 9780128182482 |q (electronic bk.) | ||
| 020 | |a 0128182482 |q (electronic bk.) | ||
| 020 | |z 9780128182475 | ||
| 020 | |z 0128182474 | ||
| 035 | |a (OCoLC)1084727093 |z (OCoLC)1085219052 | ||
| 050 | 4 | |a TA345 |b .A788 2019 | |
| 072 | 7 | |a TEC |x 009000 |2 bisacsh | |
| 082 | 0 | 4 | |a 629.8/95631 |2 23 |
| 245 | 0 | 0 | |a Artificial neural networks for engineering applications / |c edited by Alma Y. Alanis, Nancy Arana-Daniel and Carlos L�opez-Franco. |
| 264 | 1 | |a St. Louis, Missouri : |b Elsevier, |c [2019] | |
| 264 | 4 | |c �2019 | |
| 300 | |a 1 online resource (xvii, 157 pages) : |b illustrations (some color) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |t Hierarchical dynamic neural networks for cascade system modeling with application to wastewater treatment / |r Wen Yu, Daniel Carillo -- |t Hyperellipsoidal neural network trained with extended Kalman filter for forecasting of time series / |r Carlos Villase�nor -- |t Neural networks: a methodology for modeling and control design of dynamical systems / |r Fernando Ornelas-Tellez, J. Jesus Rico-Melgoza, Angel E. Villafuerte, Febe J. Zavala-Mendoza -- |t Continuous-time decentralized neural control of a quadrotor UAV / |r Francisco Jurado, Sergio Lopez -- |t Adaptive PID controller using a multilayer perceptron trained with the extended Kalman filter for an unmanned aerial vehicle / |r Javier Gomez-Avila -- |t Support vector regression for digital video processing / |r Gehov�a L�opez-Gonz�alez -- |t Artificial neural networks based on nonlinear bioprocess models for predicting wastewater organic compounds and biofuels production / |r Kelly J. Gurubel, Edgar N. Sanchez, Rafael Gonz�alez, Hugo Coss y Le�on, Rozana Recio -- |t Learning-based Identification of viral Infection dynamics / |r Gustavo Hernandez-Mejia, Esteban A. Hernandez-Vargas -- |t Attack detection and estimation for cyber-physical systems by using learning methodology / |r Haifeng Niu, C. Bhowmick, S. Jagannathan -- |t Sensitivity analysis with artificial neural networks for operation of photovoltaic systems / |r O. May Tzuc, A. Bassam, L.J. Ricalde, E. Cruz May -- |t Pattern classification and its applications to control of biomechatronic systems / |r Victor H. Benitez. |
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed February 8, 2019). | |
| 520 | |a This book presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. -- |c Edited summary from book. | ||
| 650 | 0 | |a Computer-aided engineering. | |
| 650 | 0 | |a Engineering |x Computer simulation. | |
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Adaptive control systems. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Genetic algorithms. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Neuroinformatics. | |
| 650 | 2 | |a Neural Networks, Computer |0 (DNLM)D016571 | |
| 650 | 2 | |a Computational Biology |0 (DNLM)D019295 | |
| 650 | 2 | |a Machine Learning |0 (DNLM)D000069550 | |
| 650 | 6 | |a Ing�enierie assist�ee par ordinateur. |0 (CaQQLa)201-0124860 | |
| 650 | 6 | |a Ing�enierie |0 (CaQQLa)201-0003251 |x Simulation par ordinateur. |0 (CaQQLa)201-0379159 | |
| 650 | 6 | |a Traitement du signal. |0 (CaQQLa)201-0032324 | |
| 650 | 6 | |a R�eseaux neuronaux (Informatique) |0 (CaQQLa)201-0209597 | |
| 650 | 6 | |a Syst�emes adaptatifs. |0 (CaQQLa)201-0010969 | |
| 650 | 6 | |a Apprentissage automatique. |0 (CaQQLa)201-0131435 | |
| 650 | 6 | |a Algorithmes g�en�etiques. |0 (CaQQLa)201-0265158 | |
| 650 | 6 | |a Bio-informatique. |0 (CaQQLa)201-0313075 | |
| 650 | 6 | |a Neuro-informatique. |0 (CaQQLa)201-0287136 | |
| 650 | 7 | |a computer-aided engineering. |2 aat |0 (CStmoGRI)aat300263889 | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Engineering (General) |2 bisacsh | |
| 650 | 7 | |a Neuroinformatics |2 fast |0 (OCoLC)fst01036362 | |
| 650 | 7 | |a Engineering |x Computer simulation |2 fast |0 (OCoLC)fst00910328 | |
| 650 | 7 | |a Computer-aided engineering |2 fast |0 (OCoLC)fst00872718 | |
| 650 | 7 | |a Bioinformatics |2 fast |0 (OCoLC)fst00832181 | |
| 650 | 7 | |a Adaptive control systems |2 fast |0 (OCoLC)fst00796490 | |
| 650 | 7 | |a Genetic algorithms |2 fast |0 (OCoLC)fst00939996 | |
| 650 | 7 | |a Machine learning |2 fast |0 (OCoLC)fst01004795 | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast |0 (OCoLC)fst01036260 | |
| 650 | 7 | |a Signal processing |2 fast |0 (OCoLC)fst01118281 | |
| 700 | 1 | |a Alanis, Alma Y., |e editor. | |
| 700 | 1 | |a Arana-Daniel, Nancy, |e editor. | |
| 700 | 1 | |a Lopez-Franco, Carlos, |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Artificial Neural Networks for Engineering Applications. |d St. Louis, Missouri : Elsevier, [2019] |z 0128182474 |z 9780128182475 |w (OCoLC)1053992129 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128182475 |z Texto completo |