Constructive algorithms for structure learning in feedforward neural networks for regression problems
- Author
- KWOK, T.-Y1 ; YEUNG, D.-Y1
[1] Department of Computer Science, Hong Kong University of Science and Technology, Kowloon, Hong-Kong - Source
IEEE transactions on neural networks. 1997, Vol 8, Num 3, pp 630-645 ; ref : 140 ref
- CODEN
- ITNNEP
- ISSN
- 1045-9227
- Scientific domain
- Electronics; Computer science; Psychology, psychopathology, psychiatry
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Algorithme apprentissage Allocation ressource Boucle anticipation Réseau neuronal Théorie constructive Apprentissage structure
- Keyword (en)
- Learning algorithm Resource allocation Feedforward Neural network Constructive theory
- Keyword (es)
- Algoritmo aprendizaje Asignación recurso Ciclo anticipación Red neuronal Teoría constructiva
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 2657179
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
10.1109/72.572102 
https://dx.doi.org/10.1109/72.572102
"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:17:\"10.1109\/72.572102\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:101:\"Constructive algorithms for structure learning in feedforward neural networks for regression problems\";s:9:\"\u0000*\u0000jtitle\";s:36:\"IEEE transactions on neural networks\";s:9:\"\u0000*\u0000stitle\";s:23:\"IEEE trans. neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"1997\";s:9:\"\u0000*\u0000volume\";s:1:\"8\";s:8:\"\u0000*\u0000issue\";s:1:\"3\";s:8:\"\u0000*\u0000spage\";s:3:\"630\";s:8:\"\u0000*\u0000epage\";s:3:\"645\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"1045-9227\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:4:\"KWOK\";s:10:\"\u0000*\u0000aufirst\";s:4:\"T.-Y\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:11:\"YEUNG, D.-Y\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"ITNNEP\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:101:\"Constructive algorithms for structure learning in feedforward neural networks for regression problems\";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: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:17:\"10.1109\/72.572102\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:101:\"Constructive algorithms for structure learning in feedforward neural networks for regression problems\";s:9:\"\u0000*\u0000jtitle\";s:36:\"IEEE transactions on neural networks\";s:9:\"\u0000*\u0000stitle\";s:23:\"IEEE trans. neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"1997\";s:9:\"\u0000*\u0000volume\";s:1:\"8\";s:8:\"\u0000*\u0000issue\";s:1:\"3\";s:8:\"\u0000*\u0000spage\";s:3:\"630\";s:8:\"\u0000*\u0000epage\";s:3:\"645\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"1045-9227\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:4:\"KWOK\";s:10:\"\u0000*\u0000aufirst\";s:4:\"T.-Y\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:11:\"YEUNG, D.-Y\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"ITNNEP\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:101:\"Constructive algorithms for structure learning in feedforward neural networks for regression problems\";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: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:17:\"10.1109\/72.572102\";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:17:\"10.1109\/72.572102\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:101:\"Constructive algorithms for structure learning in feedforward neural networks for regression problems\";s:9:\"\u0000*\u0000jtitle\";s:36:\"IEEE transactions on neural networks\";s:9:\"\u0000*\u0000stitle\";s:23:\"IEEE trans. neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"1997\";s:9:\"\u0000*\u0000volume\";s:1:\"8\";s:8:\"\u0000*\u0000issue\";s:1:\"3\";s:8:\"\u0000*\u0000spage\";s:3:\"630\";s:8:\"\u0000*\u0000epage\";s:3:\"645\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"1045-9227\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:4:\"KWOK\";s:10:\"\u0000*\u0000aufirst\";s:4:\"T.-Y\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:11:\"YEUNG, D.-Y\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"ITNNEP\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:101:\"Constructive algorithms for structure learning in feedforward neural networks for regression problems\";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: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:17:\"10.1109\/72.572102\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:101:\"Constructive algorithms for structure learning in feedforward neural networks for regression problems\";s:9:\"\u0000*\u0000jtitle\";s:36:\"IEEE transactions on neural networks\";s:9:\"\u0000*\u0000stitle\";s:23:\"IEEE trans. neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"1997\";s:9:\"\u0000*\u0000volume\";s:1:\"8\";s:8:\"\u0000*\u0000issue\";s:1:\"3\";s:8:\"\u0000*\u0000spage\";s:3:\"630\";s:8:\"\u0000*\u0000epage\";s:3:\"645\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"1045-9227\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:4:\"KWOK\";s:10:\"\u0000*\u0000aufirst\";s:4:\"T.-Y\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:11:\"YEUNG, D.-Y\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"ITNNEP\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:101:\"Constructive algorithms for structure learning in feedforward neural networks for regression problems\";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: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:17:\"10.1109\/72.572102\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:101:\"Constructive algorithms for structure learning in feedforward neural networks for regression problems\";s:9:\"\u0000*\u0000jtitle\";s:36:\"IEEE transactions on neural networks\";s:9:\"\u0000*\u0000stitle\";s:23:\"IEEE trans. neural netw\";s:7:\"\u0000*\u0000date\";s:4:\"1997\";s:9:\"\u0000*\u0000volume\";s:1:\"8\";s:8:\"\u0000*\u0000issue\";s:1:\"3\";s:8:\"\u0000*\u0000spage\";s:3:\"630\";s:8:\"\u0000*\u0000epage\";s:3:\"645\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"1045-9227\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:4:\"KWOK\";s:10:\"\u0000*\u0000aufirst\";s:4:\"T.-Y\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:11:\"YEUNG, D.-Y\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"ITNNEP\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:101:\"Constructive algorithms for structure learning in feedforward neural networks for regression problems\";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: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
