{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T18:43:34Z","timestamp":1648579414562},"reference-count":4,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[2004,4]]},"abstract":"<jats:p> Training methodology of the Back Propagation Network (BPN) is well documented. One aspect of BPN that requires investigation is whether or not the BPN would get trained for a given training data set and architecture. In this paper the behavior of the BPN is analyzed during its training phase considering convergent and divergent training data sets. Evolution of the weights during the training phase was monitored for the purpose of analysis. The evolution of weights was plotted as return map and was characterized by means of fractal dimension. This fractal dimensional analysis of the weight evolution trajectories is used to provide a new insight to understand the behavior of BPN and dynamics in the evolution of weights. <\/jats:p>","DOI":"10.1142\/s0129065704001929","type":"journal-article","created":{"date-parts":[[2004,4,22]],"date-time":"2004-04-22T09:19:46Z","timestamp":1082625586000},"page":"139-145","source":"Crossref","is-referenced-by-count":1,"title":["FRACTAL CHARACTERIZATION OF BPN WEIGHTS EVOLUTION"],"prefix":"10.1142","volume":"14","author":[{"given":"S.","family":"GUNASEKARAN","sequence":"first","affiliation":[{"name":"Faculty of Engineering and Technology, Multimedia University, 75450 Melaka, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B.","family":"VENKATESH","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Technology, Multimedia University, 75450 Melaka, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B. S. D.","family":"SAGAR","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Technology, Multimedia University, 75450 Melaka, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","volume-title":"Neural Computing, Theory and Practice","author":"Wassermann P. D.","year":"1989"},{"key":"rf2","volume-title":"Neural Networks \u2014 Algorithms, Applications and Programming Techniques","author":"Freeman J. A.","year":"1991"},{"key":"rf3","volume-title":"Fractals in Science","author":"Bunde A.","year":"1995"},{"key":"rf4","volume-title":"The New Scientist Guide to Chaos","author":"Hall N.","year":"1992"}],"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129065704001929","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T12:30:33Z","timestamp":1565181033000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065704001929"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,4]]},"references-count":4,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2004,4]]}},"alternative-id":["10.1142\/S0129065704001929"],"URL":"https:\/\/doi.org\/10.1142\/s0129065704001929","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2004,4]]}}}