An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models

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An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models

In this paper, an extended ANFIS architecture is proposed. By incorporating an extra layer for the fuzzification process, the extended architecture is able to fit both type-1 and interval type-2 models. The learning properties of the proposed architecture based on the least-squares estimate method a...

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Bibliographic Details
Main Authors:	Chen, Chao, John, Robert, Twycross, Jamie, Garibaldi, Jonathan M.
Format:	Conference or Workshop Item
Published:	2016
Online Access:	https://eprints.nottingham.ac.uk/33465/

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