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Volumn 5164 LNCS, Issue PART 2, 2008, Pages 783-792

A brief review and comparison of feedforward morphological neural networks with applications to classification

Author keywords

Complete lattice; Mathematical morphology; Morphological neural network; Pattern classification

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; COMPLETE LATTICE; COMPLETE LATTICES; FEED FORWARD; INTERNATIONAL CONFERENCES; MATHEMATICAL MORPHOLOGY (MM); MORPHOLOGICAL MODELLING; MORPHOLOGICAL NEURAL NETWORK; MORPHOLOGICAL NEURAL NETWORKS; MULTI-LAYER PERCEPTRONS; NEURO-COMPUTING; PATTERN CLASSIFICATION;

EID: 51849152306     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87559-8_81     Document Type: Conference Paper
Times cited : (13)

References (22)
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    • Sussner, P., Valle, M.E.: Morphological and Certain Fuzzy Morphological Associative Memories with Applications in Classification and Prediction. In: Kaburlasos, V.G., Ritter, G.X. (eds.) Computational Intelligence Based on Lattice Theory. Studies in Computational Intelligence, vol. 67, pp. 149-173. Springer, Heidelberg (2007)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.