{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,11]],"date-time":"2024-08-11T05:12:54Z","timestamp":1723353174006},"reference-count":11,"publisher":"World Scientific Pub Co Pte Lt","issue":"05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[2003,10]]},"abstract":"<jats:p> A key problem in Binary Neural Network learning is to decide bigger linear separable subsets. In this paper we prove some lemmas about linear separability. Based on these lemmas, we propose Multi-Core Learning (MCL) and Multi-Core Expand-and-Truncate Learning (MCETL) algorithms to construct Binary Neural Networks. We conclude that MCL and MCETL simplify the equations to compute weights and thresholds, and they result in the construction of simpler hidden layer. Examples are given to demonstrate these conclusions. <\/jats:p>","DOI":"10.1142\/s0129065703001613","type":"journal-article","created":{"date-parts":[[2003,11,24]],"date-time":"2003-11-24T09:26:19Z","timestamp":1069665979000},"page":"333-351","source":"Crossref","is-referenced-by-count":9,"title":["BINARY NEURAL NETWORK TRAINING ALGORITHMS BASED ON LINEAR  SEQUENTIAL LEARNING"],"prefix":"10.1142","volume":"13","author":[{"given":"DI","family":"WANG","sequence":"first","affiliation":[{"name":"School of Computing Engineering, Block N4-2a-32, 50 Nanyang Avenue,  Nanyang Technological University (NTU), Singapore 639798, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"NARENDRA S.","family":"CHAUDHARI","sequence":"additional","affiliation":[{"name":"School of Computing Engineering, Block N4-2a-32, 50 Nanyang Avenue,  Nanyang Technological University (NTU), Singapore 639798, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","volume-title":"Principles of Data Mining","author":"Hand D.","year":"2001"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1016\/S1566-2535(01)00029-X"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(97)00079-2"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1109\/72.363432"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1109\/72.125859"},{"key":"rf11","unstructured":"M.\u00a0Forcada and R. C.\u00a0Carrasco, Emergent Neural Computational Architectures Based on Neuroscience, Lecture Notes in Computer Science\u00a02036 (Springer, 2001)\u00a0pp. 487\u2013501."},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.55.4478"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1560"},{"key":"rf14","first-page":"1","volume":"12","author":"Deolalikar V.","journal-title":"IEEE Tran. on Neural Networks"},{"key":"rf15","first-page":"931","volume":"22","author":"Ma X.","journal-title":"Chinese Journal of Computers"},{"key":"rf19","doi-asserted-by":"publisher","DOI":"10.1109\/12.238491"}],"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129065703001613","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T16:35:40Z","timestamp":1565195740000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065703001613"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,10]]},"references-count":11,"journal-issue":{"issue":"05","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2003,10]]}},"alternative-id":["10.1142\/S0129065703001613"],"URL":"https:\/\/doi.org\/10.1142\/s0129065703001613","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2003,10]]}}}