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The new algorithm was applied to three problems: the famous vertical-horizontal lines detection problem, a medical data problem and a road classification problem. In all these cases, experimental results confirmed that the method could solve problems that single-layered networks failed to. In addition, information maximization makes it possible to extract salient features in input patterns.<\/jats:p>","DOI":"10.1142\/s012906570400184x","type":"journal-article","created":{"date-parts":[[2004,2,27]],"date-time":"2004-02-27T09:38:47Z","timestamp":1077874727000},"page":"9-26","source":"Crossref","is-referenced-by-count":3,"title":["MULTI-LAYERED GREEDY NETWORK-GROWING ALGORITHM: EXTENSION OF GREEDY NETWORK-GROWING ALGORITHM TO MULTI-LAYERED NETWORKS"],"prefix":"10.1142","volume":"14","author":[{"given":"RYOTARO","family":"KAMIMURA","sequence":"first","affiliation":[{"name":"Information Science Laboratory, Tokai University, 1117 Kitakaname Hiratsuka Kanagawa 259-1292, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1080\/09540090210162065"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1527\/tjsai.16.287"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1111\/j.1551-6708.1987.tb00862.x"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1007\/BF00337288"},{"key":"rf5","doi-asserted-by":"crossref","unstructured":"D. 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