{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T15:45:34Z","timestamp":1769355934531,"version":"3.49.0"},"reference-count":7,"publisher":"Elsevier","isbn-type":[{"value":"9780128114322","type":"print"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1016\/b978-0-12-809633-8.20340-3","type":"book-chapter","created":{"date-parts":[[2018,5,24]],"date-time":"2018-05-24T18:05:02Z","timestamp":1527185102000},"page":"621-633","source":"Crossref","is-referenced-by-count":3,"title":["Delta Rule and Backpropagation"],"prefix":"10.1016","author":[{"given":"Leonardo","family":"Vanneschi","sequence":"first","affiliation":[]},{"given":"Mauro","family":"Castelli","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/B978-0-12-809633-8.20340-3_bib1","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1162\/neco.1989.1.1.151","article-title":"What size net gives valid generalization?","volume":"1","author":"Baum","year":"1989","journal-title":"Neural Comput."},{"key":"10.1016\/B978-0-12-809633-8.20340-3_bib2","series-title":"Advances in Neural Networks \u2013 ISNN","author":"Fengyu Cong","year":"2017"},{"key":"10.1016\/B978-0-12-809633-8.20340-3_bib3","series-title":"Neural Networks: A Comprehensive Foundation","author":"Haykin","year":"1998"},{"issue":"5","key":"10.1016\/B978-0-12-809633-8.20340-3_bib4","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1016\/0893-6080(89)90020-8","article-title":"Multilayer feedforward networks are universal approximators","volume":"2","author":"Hornik","year":"1989","journal-title":"Neural Netw."},{"key":"10.1016\/B978-0-12-809633-8.20340-3_bib5","series-title":"Perceptrons: Expanded Edition","author":"Minsky","year":"1988"},{"key":"10.1016\/B978-0-12-809633-8.20340-3_bib6","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1037\/h0042519","article-title":"The perceptron: A probabilistic model for information storage and organization in the brain","volume":"65","author":"Rosenblatt","year":"1958","journal-title":"Psychol. Rev."},{"key":"10.1016\/B978-0-12-809633-8.20340-3_bib7","unstructured":"Sorensen, O., 1994. Neural networks in control applications. PhD Thesis, Aalborg Universitetsforlag."}],"container-title":["Encyclopedia of Bioinformatics and Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780128096338203403?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780128096338203403?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,1,21]],"date-time":"2019-01-21T19:37:11Z","timestamp":1548099431000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/B9780128096338203403"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9780128114322"],"references-count":7,"URL":"https:\/\/doi.org\/10.1016\/b978-0-12-809633-8.20340-3","relation":{},"subject":[],"published":{"date-parts":[[2019]]}}}