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More precisely, some FCM architectures are introduced and studied with respect to their pattern recognition abilities. An efficient novel hybrid classifier is proposed as an alternative classification structure, which exploits both neural networks and FCMs to ensure improved classification capabilities. Appropriate experiments with four well-known benchmark classification problems and a typical computer vision application establish the usefulness of the Fuzzy Cognitive Maps, in a pattern recognition research field. Moreover, the present paper introduces the use of more flexible FCMs by incorporating nodes with adaptively adjusted activation functions. This advanced feature gives more degrees of freedom in the FCM structure to learn and store knowledge, as needed in pattern recognition tasks. <\/jats:p>","DOI":"10.1142\/s0218001408006910","type":"journal-article","created":{"date-parts":[[2009,1,14]],"date-time":"2009-01-14T10:00:13Z","timestamp":1231927213000},"page":"1461-1486","source":"Crossref","is-referenced-by-count":99,"title":["FUZZY COGNITIVE MAPS FOR PATTERN RECOGNITION APPLICATIONS"],"prefix":"10.1142","volume":"22","author":[{"given":"G. A.","family":"PAPAKOSTAS","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100 Xanthi, Hellas, Greece"}]},{"given":"Y. S.","family":"BOUTALIS","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100 Xanthi, Hellas, Greece"}]},{"given":"D. E.","family":"KOULOURIOTIS","sequence":"additional","affiliation":[{"name":"Department of Production Engineering and Management, Democritus University of Thrace, 67100 Xanthi, Hellas, Greece"}]},{"given":"B. G.","family":"MERTZIOS","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100 Xanthi, Hellas, Greece"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","first-page":"27","volume":"3","author":"Aguilar J.","journal-title":"Int. J. Comput. Cogn."},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001407005338"},{"key":"rf5","volume-title":"An Introduction to Genetic Algorithms for Scientists and Engineers","author":"Coley D. 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