Cascading fuzzy neural networks

Ji cheng Duan, Fu Lai Korris Chung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


A new fuzzy neural network (FNN) model based on syllogistic fuzzy reasoning is proposed in this paper. Unlike most of the proposed FNN models implementing single-stage fuzzy reasoning mechanisms, the new model implements syllogistic fuzzy reasoning which is usually used by human beings. A hybrid learning algorithm is presented to derive an appropriate syllogistic fuzzy rule set and update the corresponding network parameters. It is found that the model is superior to its single-stage counterpart in learning ability and robustness.
Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
Publication statusPublished - 1 Dec 1999
EventProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99 - Seoul, Korea, Republic of
Duration: 22 Aug 199925 Aug 1999


ConferenceProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99
Country/TerritoryKorea, Republic of

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality


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