{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T12:48:46Z","timestamp":1759063726725},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[1993,12]]},"abstract":"<jats:p> We analyse the effects of analogue noise on the synaptic arithmetic during multilayer perceptron training by expanding the cost function to include noise-mediated penalty terms. Predictions are made in the light of these calculations which suggest that fault tolerance, generalisation ability and learning trajectory should be improved by such noise-injection. Extensive simulation experiments on two distinct classification problems substantiate the claims. The results appear to be perfectly general for all training schemes where weights are adjusted incrementally, and have wide-ranging implications for all applications, particularly those involving \"inaccurate\" analogue neural VLSI. <\/jats:p>","DOI":"10.1142\/s0129065793000353","type":"journal-article","created":{"date-parts":[[2004,11,19]],"date-time":"2004-11-19T07:08:05Z","timestamp":1100848085000},"page":"427-433","source":"Crossref","is-referenced-by-count":3,"title":["ANALOGUE SYNAPTIC NOISE \u2014 IMPLICATIONS AND LEARNING IMPROVEMENTS"],"prefix":"10.1142","volume":"04","author":[{"given":"PETER J.","family":"EDWARDS","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Edinburgh University, Edinburgh, Scotland EH9 3JL, Scotland"}]},{"given":"ALAN F.","family":"MURRAY","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Edinburgh University, Edinburgh, Scotland EH9 3JL, Scotland"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129065793000353","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T21:54:39Z","timestamp":1565128479000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065793000353"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1993,12]]},"references-count":0,"journal-issue":{"issue":"04","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1993,12]]}},"alternative-id":["10.1142\/S0129065793000353"],"URL":"https:\/\/doi.org\/10.1142\/s0129065793000353","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[1993,12]]}}}