Dynamical features simulated by recurrent neural networks
- Author
- BOTELHO, F1
[1] Department of Mathematical Sciences, University of Memphis, Memphis, TN 38152, United States - Source
Neural networks. 1999, Vol 12, Num 4-5, pp 609-615 ; ref : 17 ref
- ISSN
- 0893-6080
- Scientific domain
- Electronics; Computer science; Neurology
- Publisher
- Elsevier Science, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Architecture système Fonction transfert Implémentation Modèle mathématique Propriété dynamique Réseau 2 dimensions Réseau neuronal Simulation ordinateur Neurone interconnecté Réseau récurrent Système chaotique
- Keyword (en)
- System architecture Transfer function Implementation Mathematical model Dynamic properties Two dimension network Neural network Computer simulation Recurrent network Chaotic system
- Keyword (es)
- Arquitectura sistema Función traspaso Ejecución Modelo matemático Propiedad dinámica Red 2 dimensiones Red neuronal Simulación computadora
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D03 Electronics / 001D03G Electric, optical and optoelectronic circuits / 001D03G03 Neural networks
- Discipline
- Electronics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 1904909
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
Access to the document
Install on your browser
DOI
10.1016/S0893-6080(99)00026-X 
https://dx.doi.org/10.1016/S0893-6080(99)00026-X
"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:29:\"10.1016\/S0893-6080(99)00026-X\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:57:\"Dynamical features simulated by recurrent neural networks\";s:9:\"\u0000*\u0000jtitle\";s:15:\"Neural networks\";s:9:\"\u0000*\u0000stitle\";s:11:\"Neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"1999\";s:9:\"\u0000*\u0000volume\";s:2:\"12\";s:8:\"\u0000*\u0000issue\";s:3:\"4-5\";s:8:\"\u0000*\u0000spage\";s:3:\"609\";s:8:\"\u0000*\u0000epage\";s:3:\"615\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0893-6080\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:7:\"BOTELHO\";s:10:\"\u0000*\u0000aufirst\";s:1:\"F\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:0:{}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:57:\"Dynamical features simulated by recurrent neural networks\";s:8:\"\u0000*\u0000place\";s:6:\"Oxford\";s:6:\"\u0000*\u0000pub\";s:16:\"Elsevier Science\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:0:\"\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Panist access
"O:12:\"IstexOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:29:\"10.1016\/S0893-6080(99)00026-X\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:57:\"Dynamical features simulated by recurrent neural networks\";s:9:\"\u0000*\u0000jtitle\";s:15:\"Neural networks\";s:9:\"\u0000*\u0000stitle\";s:11:\"Neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"1999\";s:9:\"\u0000*\u0000volume\";s:2:\"12\";s:8:\"\u0000*\u0000issue\";s:3:\"4-5\";s:8:\"\u0000*\u0000spage\";s:3:\"609\";s:8:\"\u0000*\u0000epage\";s:3:\"615\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0893-6080\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:7:\"BOTELHO\";s:10:\"\u0000*\u0000aufirst\";s:1:\"F\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:0:{}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:57:\"Dynamical features simulated by recurrent neural networks\";s:8:\"\u0000*\u0000place\";s:6:\"Oxford\";s:6:\"\u0000*\u0000pub\";s:16:\"Elsevier Science\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:0:\"\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Istex access
"O:16:\"UnpaywallOpenUrl\":35:{s:8:\"\u0000*\u0000email\";s:27:\"assistance-portail@inist.fr\";s:6:\"\u0000*\u0000fmt\";N;s:6:\"\u0000*\u0000doi\";s:29:\"10.1016\/S0893-6080(99)00026-X\";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;}"
Unpaywall access
"O:16:\"EuropePMCOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:29:\"10.1016\/S0893-6080(99)00026-X\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:57:\"Dynamical features simulated by recurrent neural networks\";s:9:\"\u0000*\u0000jtitle\";s:15:\"Neural networks\";s:9:\"\u0000*\u0000stitle\";s:11:\"Neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"1999\";s:9:\"\u0000*\u0000volume\";s:2:\"12\";s:8:\"\u0000*\u0000issue\";s:3:\"4-5\";s:8:\"\u0000*\u0000spage\";s:3:\"609\";s:8:\"\u0000*\u0000epage\";s:3:\"615\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0893-6080\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:7:\"BOTELHO\";s:10:\"\u0000*\u0000aufirst\";s:1:\"F\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:0:{}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:57:\"Dynamical features simulated by recurrent neural networks\";s:8:\"\u0000*\u0000place\";s:6:\"Oxford\";s:6:\"\u0000*\u0000pub\";s:16:\"Elsevier Science\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:0:\"\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Europe PubMed Central access
"O:11:\"BaseOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:29:\"10.1016\/S0893-6080(99)00026-X\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:57:\"Dynamical features simulated by recurrent neural networks\";s:9:\"\u0000*\u0000jtitle\";s:15:\"Neural networks\";s:9:\"\u0000*\u0000stitle\";s:11:\"Neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"1999\";s:9:\"\u0000*\u0000volume\";s:2:\"12\";s:8:\"\u0000*\u0000issue\";s:3:\"4-5\";s:8:\"\u0000*\u0000spage\";s:3:\"609\";s:8:\"\u0000*\u0000epage\";s:3:\"615\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0893-6080\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:7:\"BOTELHO\";s:10:\"\u0000*\u0000aufirst\";s:1:\"F\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:0:{}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:57:\"Dynamical features simulated by recurrent neural networks\";s:8:\"\u0000*\u0000place\";s:6:\"Oxford\";s:6:\"\u0000*\u0000pub\";s:16:\"Elsevier Science\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:0:\"\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Base Search access
"O:12:\"ArXivOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:29:\"10.1016\/S0893-6080(99)00026-X\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:57:\"Dynamical features simulated by recurrent neural networks\";s:9:\"\u0000*\u0000jtitle\";s:15:\"Neural networks\";s:9:\"\u0000*\u0000stitle\";s:11:\"Neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"1999\";s:9:\"\u0000*\u0000volume\";s:2:\"12\";s:8:\"\u0000*\u0000issue\";s:3:\"4-5\";s:8:\"\u0000*\u0000spage\";s:3:\"609\";s:8:\"\u0000*\u0000epage\";s:3:\"615\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0893-6080\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:7:\"BOTELHO\";s:10:\"\u0000*\u0000aufirst\";s:1:\"F\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:0:{}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:57:\"Dynamical features simulated by recurrent neural networks\";s:8:\"\u0000*\u0000place\";s:6:\"Oxford\";s:6:\"\u0000*\u0000pub\";s:16:\"Elsevier Science\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:0:\"\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
arXiv access
