{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T19:31:38Z","timestamp":1648668698068},"reference-count":5,"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":[[1997,4]]},"abstract":"<jats:p> A Supervised Adaptive Hamming Net (SAHN) is introduced for incremental learning of recognition categories in response to arbitrary sequence of multiple-valued or binary-valued input patterns. The binary-valued SAHN derived from the Adaptive Hamming Net (AHN) is functionally equivalent to a simplified ARTMAP, which is specifically designed to establish many-to-one mappings. The generalization to learning multiple-valued input patterns is achieved by incorporating multiple-valued logic into the AHN. In this paper, we examine some useful properties of learning in a P-valued SAHN. In particular, an upper bound is derived on the number of epochs required by the P-valued SAHN to learn a list of input-output pairs that is repeatedly presented to the architecture. Furthermore, we connect the P-valued SAHN with the binary-valued SAHN via the thermometer code. <\/jats:p>","DOI":"10.1142\/s0129065797000203","type":"journal-article","created":{"date-parts":[[2003,10,13]],"date-time":"2003-10-13T09:47:33Z","timestamp":1066038453000},"page":"181-200","source":"Crossref","is-referenced-by-count":1,"title":["Supervised Adaptive Hamming Net for Classification of Multiple-Valued Patterns"],"prefix":"10.1142","volume":"08","author":[{"given":"Cheng-An","family":"Hung","sequence":"first","affiliation":[{"name":"Department of Control Engineering, National Chiao Tung University, 1001 Ta Hsueh Rd, Hsinchu, Taiwan 300, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheng-Fuu","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Control Engineering, National Chiao Tung University, 1001 Ta Hsueh Rd, Hsinchu, Taiwan 300, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"p_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0734-189X(87)80014-2"},{"key":"p_4","doi-asserted-by":"publisher","DOI":"10.1109\/72.159059"},{"key":"p_8","volume":"11","author":"Hung C. A.","year":"1995","journal-title":"J. Info. Sci. Eng."},{"key":"p_9","volume":"40","author":"Jain A. K.","year":"1993","journal-title":"IEEE Trans. Circ. Syst. I: Fundamental Theory and Applications"},{"key":"p_11","doi-asserted-by":"publisher","DOI":"10.1109\/MASSP.1987.1165576"}],"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129065797000203","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T16:19:09Z","timestamp":1565194749000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065797000203"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1997,4]]},"references-count":5,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1997,4]]}},"alternative-id":["10.1142\/S0129065797000203"],"URL":"https:\/\/doi.org\/10.1142\/s0129065797000203","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[1997,4]]}}}