{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T09:36:27Z","timestamp":1648546587803},"reference-count":16,"publisher":"Elsevier BV","issue":"6","license":[{"start":{"date-parts":[[1993,1,1]],"date-time":"1993-01-01T00:00:00Z","timestamp":725846400000},"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":["Neural Networks"],"published-print":{"date-parts":[[1993,1]]},"DOI":"10.1016\/s0893-6080(05)80123-6","type":"journal-article","created":{"date-parts":[[2005,10,19]],"date-time":"2005-10-19T17:38:58Z","timestamp":1129743538000},"page":"785-790","source":"Crossref","is-referenced-by-count":17,"title":["A comparison study of binary feedforward neural networks and digital circuits"],"prefix":"10.1016","volume":"6","author":[{"given":"Hubertus M.A.","family":"Andree","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gerard T.","family":"Barkema","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wim","family":"Lourens","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arie","family":"Taal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos C.","family":"Vermeulen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/S0893-6080(05)80123-6_bib1","series-title":"Neural computing architectures","author":"Aleksander","year":"1988"},{"key":"10.1016\/S0893-6080(05)80123-6_bib2","series-title":"Internal report Department of Computing Science","article-title":"Some results concerning adaptive logic networks","author":"Armstrong","year":"1991"},{"key":"10.1016\/S0893-6080(05)80123-6_bib3","doi-asserted-by":"crossref","first-page":"8000","DOI":"10.1103\/PhysRevA.44.8000","article-title":"Numerical study of phase transitions in Potts models","volume":"A44","author":"Barkema","year":"1991","journal-title":"Physiological Review"},{"key":"10.1016\/S0893-6080(05)80123-6_bib4","article-title":"The patch algorithm: Fast design of binary feedforward neural networks","author":"Barkema","year":"1992","journal-title":"Neural Networks"},{"key":"10.1016\/S0893-6080(05)80123-6_bib5","series-title":"Digital networks and computer systems","author":"Booth","year":"1971"},{"key":"10.1016\/S0893-6080(05)80123-6_bib6","series-title":"Threshold logic: A synthesis approach","author":"Dertouzos","year":"1965"},{"key":"10.1016\/S0893-6080(05)80123-6_bib7","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1162\/neco.1990.2.2.198","article-title":"The upstart algorithm: A method for constructing and training feedforward neural networks","volume":"2","author":"Frean","year":"1990","journal-title":"Neural Computation"},{"key":"10.1016\/S0893-6080(05)80123-6_bib8","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1209\/0295-5075\/18\/6\/014","article-title":"A fast partitioning algorithm and a comparison of binary feedforward neural networks","volume":"18","author":"Keibek","year":"1992","journal-title":"Europhysics Letters"},{"key":"10.1016\/S0893-6080(05)80123-6_bib9","series-title":"Computational physics","author":"Koonin","year":"1986"},{"key":"10.1016\/S0893-6080(05)80123-6_bib10","doi-asserted-by":"crossref","first-page":"L745","DOI":"10.1088\/0305-4470\/20\/11\/013","article-title":"Learning algorithms with optimal stability in neural networks","volume":"20","author":"Krauth","year":"1987","journal-title":"Journal of Physics A: Mathematical and General"},{"key":"10.1016\/S0893-6080(05)80123-6_bib11","series-title":"Threshold logic","author":"Lewis","year":"1967"},{"key":"10.1016\/S0893-6080(05)80123-6_bib12","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1209\/0295-5075\/11\/6\/001","article-title":"A convergence theorem for sequential learning in two-layer perceptrons","volume":"11","author":"Marchand","year":"1990","journal-title":"Europhysics Letters"},{"key":"10.1016\/S0893-6080(05)80123-6_bib13","doi-asserted-by":"crossref","first-page":"2191","DOI":"10.1088\/0305-4470\/22\/12\/019","article-title":"Learning in feedforward layered networks: The tiling algorithm","volume":"22","author":"M\u00e9zard","year":"1989","journal-title":"Journal of Physics A: Mathematical and General"},{"key":"10.1016\/S0893-6080(05)80123-6_bib14","first-page":"229","article-title":"Learning by minimizing resources in neural networks","volume":"3","author":"Ruj\u00e1n","year":"1989","journal-title":"Complex Systems"},{"key":"10.1016\/S0893-6080(05)80123-6_bib15","series-title":"Parallel distributed processing","author":"Rumelhart","year":"1986"},{"key":"10.1016\/S0893-6080(05)80123-6_bib16","doi-asserted-by":"crossref","first-page":"2233","DOI":"10.1088\/0305-4470\/22\/12\/022","article-title":"Theory of associative memory in randomly connected Boolean neural networks","volume":"22","author":"Wong","year":"1989","journal-title":"Journal of Physics A: Mathematical and General"}],"container-title":["Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608005801236?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608005801236?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,1,21]],"date-time":"2019-01-21T17:58:23Z","timestamp":1548093503000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0893608005801236"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1993,1]]},"references-count":16,"journal-issue":{"issue":"6","published-print":{"date-parts":[[1993,1]]}},"alternative-id":["S0893608005801236"],"URL":"https:\/\/doi.org\/10.1016\/s0893-6080(05)80123-6","relation":{},"ISSN":["0893-6080"],"issn-type":[{"value":"0893-6080","type":"print"}],"subject":[],"published":{"date-parts":[[1993,1]]}}}