{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T15:24:45Z","timestamp":1784647485207,"version":"3.55.0"},"reference-count":19,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1109\/ijcnn.2004.1380068","type":"proceedings-article","created":{"date-parts":[[2005,4,5]],"date-time":"2005-04-05T09:41:25Z","timestamp":1112694085000},"page":"985-990","source":"Crossref","is-referenced-by-count":1390,"title":["Extreme learning machine: a new learning scheme of feedforward neural networks"],"prefix":"10.1109","volume":"2","author":[{"family":"Guang-Bin Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Qin-Yu Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Chee-Kheong Siew","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"19","article-title":"Extreme learning machine","author":"huang","year":"2004","journal-title":"Technical Report ICIS\/03\/2004"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1162\/089976602753633402"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1109\/72.846750"},{"key":"15","first-page":"148","article-title":"Experiments with a new boosting algorithm","author":"freund","year":"1996","journal-title":"International Conference on Machine Learning"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1996.549079"},{"key":"13","author":"chang","year":"2003","journal-title":"LibSVM - a library for support vector machines"},{"key":"14","article-title":"An improvement of AdaBoost to avoid overfitting","author":"ra?tsch","year":"1998","journal-title":"Proceedings of the 5th International Conference on Neural Information Processing (ICONIP'1998)"},{"key":"11","author":"haykin","year":"1999","journal-title":"Neural Networks A Comprehensive Foundation"},{"key":"12","first-page":"134","article-title":"For valid generalization, the size of the weights is more important than the size of the network","volume":"9","author":"bartlett","year":"1997","journal-title":"Advances in Neural Information Processing Systems'1996"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80009-7"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80131-5"},{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(91)90009-T"},{"key":"10","author":"serre","year":"2002","journal-title":"Matrices Theory and Applications"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.875974"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2003.809401"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/72.557662"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/72.655045"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/18.661502"},{"key":"8","article-title":"Universal approximation using incremental feedforward networks with arbitrary input weights","author":"huang","year":"2003","journal-title":"Technical Report ICIS\/46\/2003"}],"event":{"name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","location":"Budapest, Hungary","acronym":"IJCNN-04"},"container-title":["2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/9486\/30097\/01380068.pdf?arnumber=1380068","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,15]],"date-time":"2017-03-15T00:00:50Z","timestamp":1489536050000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/1380068\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2004.1380068","relation":{},"subject":[]}}