A Fuzzy Neural Network Based on Hierarchical Space Partitioning

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationThe 1997 IEEE International Conference on Neural Networks Proceedings
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages414-419
Volume1
ISBN (print)0780341228, 0780341236
Publication statusPublished - Jun 1997
Externally publishedYes

Conference

Title1997 IEEE International Conference on Neural Networks (ICNN'97)
LocationWestin Galleria Hotel
PlaceUnited States
CityHouston, Texas
Period9 - 12 June 1997

Abstract

A self-organized and adaptive fuzzy system implemented in the framework of sigmoid function neural networks is proposed. The proposed fuzzy neural network adopts the hierarchical space partitioning method so that it can generate its rules and optimize its membership functions by its hybrid algorithm. Simulation is presented to demonstrate the performance of the proposed scheme.

Citation Format(s)

A Fuzzy Neural Network Based on Hierarchical Space Partitioning. / CHAK, Chu Kwong; FENG, Gang; PALANISWAMI, Marimuthu.
The 1997 IEEE International Conference on Neural Networks Proceedings. Vol. 1 Institute of Electrical and Electronics Engineers, Inc., 1997. p. 414-419.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review