{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T00:04:04Z","timestamp":1704845044453},"reference-count":29,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Comp. Intel. Appl."],"published-print":{"date-parts":[[2003,3]]},"abstract":"<jats:p>In this paper, the effectiveness of three different operating strategies applied to the Fuzzy ARTMAP (FAM) neural network in pattern classification tasks is analyzed and compared. Three types of FAM, namely average FAM, voting FAM, and ordered FAM, are formed for experimentation. In average FAM, a pool of the FAM networks is trained using random sequences of input patterns, and the performance metrics from multiple networks are averaged. In voting FAM, predictions from a number of FAM networks are combined using the majority-voting scheme to reach a final output. In ordered FAM, a pre-processing procedure known as the ordering algorithm is employed to identify a fixed sequence of input patterns for training the FAM network. Three medical data sets are employed to evaluate the performances of these three types of FAM. The results are analyzed and compared with those from other learning systems. Bootstrapping has also been used to analyze and quantify the results statistically.<\/jats:p>","DOI":"10.1142\/s1469026803000847","type":"journal-article","created":{"date-parts":[[2003,3,19]],"date-time":"2003-03-19T08:19:09Z","timestamp":1048061949000},"page":"23-43","source":"Crossref","is-referenced-by-count":5,"title":["ON OPERATING STRATEGIES OF THE FUZZY ARTMAP NEURAL NETWORK: A COMPARATIVE STUDY"],"prefix":"10.1142","volume":"03","author":[{"given":"MEI MING","family":"KUAN","sequence":"first","affiliation":[{"name":"School of Electrical &amp; Electronic Engineering, University of Science Malaysia, 11800 Penang, Malaysia"}]},{"given":"CHEE PENG","family":"LIM","sequence":"additional","affiliation":[{"name":"School of Electrical &amp; Electronic Engineering, University of Science Malaysia, 11800 Penang, Malaysia"}]},{"given":"ROBERT F.","family":"HARRISON","sequence":"additional","affiliation":[{"name":"Department of Automatic Control &amp; Systems Engineering, The University of Sheffield, Mappin Street, Sheffield S1 3JD, United Kingdom"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1109\/72.159059"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1016\/S0734-189X(87)80014-2"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1016\/S0933-3657(97)00032-8"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(01)00019-3"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1109\/72.623219"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1080\/09540099508915655"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(97)00067-1"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1109\/72.774217"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1109\/72.728377"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1016\/0933-3657(95)00044-5"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(96)00123-2"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1016\/S0933-3657(97)00035-3"},{"key":"rf17","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(91)90056-B"},{"key":"rf18","volume-title":"Pattern Recognition Principles","author":"Tou J. 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