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  A Membership Function Selection Method for Fuzzy Neural Networks

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by Te Whare, Wananga Otago, Qingqing Zhou, Martin K. Purvis, Nikola K. Kasabov
http://divcom.otago.ac.nz/infosci/publctns/complete/papers/dp9715mp.pdf.gz
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Abstract:

within the BCom, BA and BSc degrees. In addition to undergraduate teaching, the department is also strongly involved in postgraduate research programmes leading to MCom, MA, MSc and PhD degrees. Research projects in software engineering and software development, information engineering and database, software metrics, knowledge-based systems, natural language processing, spatial information systems, and information systems security are particularly well supported.

Citations

67 Foundations of Neural networks, Fuzzy Systems and Knowledge Engineering – Kasabov - 1996
9 A neural net topology for bidirectional fuzzy-neuro transformation – Hauptmann, Heesche - 1995
1 Neuro-fuzzy Methods for Environmental Modeling, To appear – Purvis, Kasabov, et al. - 1997
1 Learning Fuzzy Rules and Membership – Kasabov - 1993