Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks
- Autor
- GANESH, Botla1 ; VADLAGATTU VARUN KUMAR1 ; KALIPATNAPU YAMUNA RANI1
[1] Process Dynamics and Control Group, Chemical Engineering Division, Indian Institute of Chemical Technology, Hyderabad 500607, India - Fuente
IEEE transactions on neural networks and learning systems (Print). 2014, Vol 25, Num 5, pp 970-979, 10 p ; ref : 21 ref
- ISSN
- 2162-237X
- Campo Científico
- Cognition; Electronics; Computer science; Psychology, psychopathology, psychiatry
- Editor
- Institute of Electrical and Electronics Engineers, New York, NY
- País de la publicación
- United States
- Tipo de documento
- Article
- Idioma
- English
- Palabra clave de autor
- Batch reactor explicitly time-dependent neural networks modulation function nonstationary dynamic modeling semibatch polymerization reactor
- Palabra clave (fr)
- Algorithme apprentissage Algorithme rétropropagation Architecture réseau Condition non stationnaire Dépendance du temps Entrée sortie Fonction activation Fonction polynomiale Indice aptitude Intelligence artificielle Modèle dynamique Modélisation Poids Procédé discontinu Réacteur chimique Réseau neuronal Système paramètre variable
- Palabra clave (in)
- Learning algorithm Backpropagation algorithm Network architecture Non stationary condition Time dependence Input output Activation function Polynomial function Capability index Artificial intelligence Dynamic model Modeling Weight Batch process Chemical reactor Neural network Time varying system
- Palabra clave (es)
- Algoritmo aprendizaje Algoritmo retropropagación Arquitectura red Condición no estacionaria Dependencia del tiempo Entrada salida Función actividad Función polinomial Indice aptitud Inteligencia artificial Modelo dinámico Modelización Peso Procedimiento discontínuo Reactor químico Red neuronal Sistema parámetro variable
- Clasificación
- Pascal
- 001 Exact sciences and technology / 001B Physics / 001B00 General / 001B00E Statistical physics, thermodynamics, and nonlinear dynamical systems / 001B00E45 Nonlinear dynamics and nonlinear dynamical systems
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D09 Physicochemistry of polymers / 001D09D Organic polymers / 001D09D02 Preparation, kinetics, thermodynamics, mechanism and catalysts / 001D09D02B Polymerization
- Disciplina
- Computer science : theoretical automation and systems Physical chemistry of polymers Theoretical physics
- Procedencia
- Inist-CNRS
- Base de datos
- PASCAL
- Identificador INIST
- 28604019
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Acceso al documento
Install on your browser
DOI
10.1109/TNNLS.2013.2285242 
https://dx.doi.org/10.1109/TNNLS.2013.2285242
"O:13:\"PanistOpenUrl\":36:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000idc\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:26:\"10.1109\/TNNLS.2013.2285242\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:86:\"Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks\";s:9:\"\u0000*\u0000jtitle\";s:65:\"IEEE transactions on neural networks and learning systems (Print)\";s:9:\"\u0000*\u0000stitle\";s:45:\"IEEE trans. neural netw. learn. syst. (Print)\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"25\";s:8:\"\u0000*\u0000issue\";s:1:\"5\";s:8:\"\u0000*\u0000spage\";s:3:\"970\";s:8:\"\u0000*\u0000epage\";s:3:\"979\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"2162-237X\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:6:\"GANESH\";s:10:\"\u0000*\u0000aufirst\";s:5:\"Botla\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:2:{i:0;s:22:\"VADLAGATTU VARUN KUMAR\";i:1;s:23:\"KALIPATNAPU YAMUNA RANI\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:86:\"Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks\";s:8:\"\u0000*\u0000place\";s:12:\"New York, NY\";s:6:\"\u0000*\u0000pub\";s:49:\"Institute of Electrical and Electronics Engineers\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Acceso mediante Panist
"O:12:\"IstexOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:26:\"10.1109\/TNNLS.2013.2285242\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:86:\"Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks\";s:9:\"\u0000*\u0000jtitle\";s:65:\"IEEE transactions on neural networks and learning systems (Print)\";s:9:\"\u0000*\u0000stitle\";s:45:\"IEEE trans. neural netw. learn. syst. (Print)\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"25\";s:8:\"\u0000*\u0000issue\";s:1:\"5\";s:8:\"\u0000*\u0000spage\";s:3:\"970\";s:8:\"\u0000*\u0000epage\";s:3:\"979\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"2162-237X\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:6:\"GANESH\";s:10:\"\u0000*\u0000aufirst\";s:5:\"Botla\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:2:{i:0;s:22:\"VADLAGATTU VARUN KUMAR\";i:1;s:23:\"KALIPATNAPU YAMUNA RANI\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:86:\"Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks\";s:8:\"\u0000*\u0000place\";s:12:\"New York, NY\";s:6:\"\u0000*\u0000pub\";s:49:\"Institute of Electrical and Electronics Engineers\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Acceso mediante Istex
"O:16:\"UnpaywallOpenUrl\":35:{s:8:\"\u0000*\u0000email\";s:27:\"assistance-portail@inist.fr\";s:6:\"\u0000*\u0000fmt\";N;s:6:\"\u0000*\u0000doi\";s:26:\"10.1109\/TNNLS.2013.2285242\";s:6:\"\u0000*\u0000pii\";N;s:7:\"\u0000*\u0000pmid\";N;s:9:\"\u0000*\u0000atitle\";N;s:9:\"\u0000*\u0000jtitle\";N;s:9:\"\u0000*\u0000stitle\";N;s:7:\"\u0000*\u0000date\";N;s:9:\"\u0000*\u0000volume\";N;s:8:\"\u0000*\u0000issue\";N;s:8:\"\u0000*\u0000spage\";N;s:8:\"\u0000*\u0000epage\";N;s:8:\"\u0000*\u0000pages\";N;s:7:\"\u0000*\u0000issn\";N;s:8:\"\u0000*\u0000eissn\";N;s:9:\"\u0000*\u0000aulast\";N;s:10:\"\u0000*\u0000aufirst\";N;s:9:\"\u0000*\u0000auinit\";N;s:10:\"\u0000*\u0000auinitm\";N;s:5:\"\u0000*\u0000au\";N;s:9:\"\u0000*\u0000aucorp\";N;s:7:\"\u0000*\u0000isbn\";N;s:8:\"\u0000*\u0000coden\";N;s:8:\"\u0000*\u0000genre\";N;s:7:\"\u0000*\u0000part\";N;s:9:\"\u0000*\u0000btitle\";N;s:8:\"\u0000*\u0000title\";N;s:8:\"\u0000*\u0000place\";N;s:6:\"\u0000*\u0000pub\";N;s:10:\"\u0000*\u0000edition\";N;s:9:\"\u0000*\u0000tpages\";N;s:9:\"\u0000*\u0000series\";N;s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";N;}"
Acceso mediante Unpaywall
"O:16:\"EuropePMCOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:26:\"10.1109\/TNNLS.2013.2285242\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:86:\"Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks\";s:9:\"\u0000*\u0000jtitle\";s:65:\"IEEE transactions on neural networks and learning systems (Print)\";s:9:\"\u0000*\u0000stitle\";s:45:\"IEEE trans. neural netw. learn. syst. (Print)\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"25\";s:8:\"\u0000*\u0000issue\";s:1:\"5\";s:8:\"\u0000*\u0000spage\";s:3:\"970\";s:8:\"\u0000*\u0000epage\";s:3:\"979\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"2162-237X\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:6:\"GANESH\";s:10:\"\u0000*\u0000aufirst\";s:5:\"Botla\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:2:{i:0;s:22:\"VADLAGATTU VARUN KUMAR\";i:1;s:23:\"KALIPATNAPU YAMUNA RANI\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:86:\"Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks\";s:8:\"\u0000*\u0000place\";s:12:\"New York, NY\";s:6:\"\u0000*\u0000pub\";s:49:\"Institute of Electrical and Electronics Engineers\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Acceso mediante Europe PubMed Central
"O:11:\"BaseOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:26:\"10.1109\/TNNLS.2013.2285242\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:86:\"Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks\";s:9:\"\u0000*\u0000jtitle\";s:65:\"IEEE transactions on neural networks and learning systems (Print)\";s:9:\"\u0000*\u0000stitle\";s:45:\"IEEE trans. neural netw. learn. syst. (Print)\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"25\";s:8:\"\u0000*\u0000issue\";s:1:\"5\";s:8:\"\u0000*\u0000spage\";s:3:\"970\";s:8:\"\u0000*\u0000epage\";s:3:\"979\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"2162-237X\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:6:\"GANESH\";s:10:\"\u0000*\u0000aufirst\";s:5:\"Botla\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:2:{i:0;s:22:\"VADLAGATTU VARUN KUMAR\";i:1;s:23:\"KALIPATNAPU YAMUNA RANI\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:86:\"Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks\";s:8:\"\u0000*\u0000place\";s:12:\"New York, NY\";s:6:\"\u0000*\u0000pub\";s:49:\"Institute of Electrical and Electronics Engineers\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Acceso mediante Base Search
"O:12:\"ArXivOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:26:\"10.1109\/TNNLS.2013.2285242\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:86:\"Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks\";s:9:\"\u0000*\u0000jtitle\";s:65:\"IEEE transactions on neural networks and learning systems (Print)\";s:9:\"\u0000*\u0000stitle\";s:45:\"IEEE trans. neural netw. learn. syst. (Print)\";s:7:\"\u0000*\u0000date\";s:4:\"2014\";s:9:\"\u0000*\u0000volume\";s:2:\"25\";s:8:\"\u0000*\u0000issue\";s:1:\"5\";s:8:\"\u0000*\u0000spage\";s:3:\"970\";s:8:\"\u0000*\u0000epage\";s:3:\"979\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"2162-237X\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:6:\"GANESH\";s:10:\"\u0000*\u0000aufirst\";s:5:\"Botla\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:2:{i:0;s:22:\"VADLAGATTU VARUN KUMAR\";i:1;s:23:\"KALIPATNAPU YAMUNA RANI\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:86:\"Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks\";s:8:\"\u0000*\u0000place\";s:12:\"New York, NY\";s:6:\"\u0000*\u0000pub\";s:49:\"Institute of Electrical and Electronics Engineers\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"10\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Acceso mediante arXiv
