@inproceedings{03e42be4debc480cbad2f00bf56dcdf3,

title = "Parallel processing by implication-based neuro-fuzzy systems",

abstract = "The system composed of various implication-based neurofuzzy networks in one parallel structure is proposed in this paper. Different phases of data processing are distinguished, i.e. learning, testing, and problem solving. A competetive learning of the neuro-fuzzy networks is employed. This learning method refers to the first layer, which is the same in every network. The system with fuzzy parameters of membership functions is also considered. In this case, the neuro-fuzzy architectures may be viewed as fuzzy inference neural networks with fuzzy parameters, and treated analogously to fuzzy neural networks.",

author = "Danuta Rutkowska and Robert Nowicki and Yoichi Hayashi",

year = "2002",

month = jan,

day = "1",

language = "English",

isbn = "9783540437925",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "599--607",

editor = "Jerzy Wasniewski and Roman Wyrzykowski and Jack Dongarra and Marcin Paprzycki",

booktitle = "Parallel Processing and Applied Mathematics - 4th International Conference, PPAM 2001, Revised Papers",

note = "4th International Conference on Parallel Processing and Applied Mathematics, PPAM 2001 ; Conference date: 09-09-2001 Through 12-09-2001",

}