A novel framework for the implementation and evaluation of type-1 and interval type-2 ANFIS

A novel framework for the implementation and evaluation of type-1 and interval type-2 ANFIS

This thesis explores a novel framework for implementing and evaluating type-1 (T1) and interval type-2 (IT2) models of Adaptive Network Fuzzy Inference Systems (ANFIS). A fundamental requirement for this research is the capability to reliably and efficiently implement ANFIS models. In the last ten y...

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Bibliographic Details
Main Author: Chen, Chao
Format: Thesis (University of Nottingham only)
Language:English
Published: 2018
Subjects:
Framework; Architecture; Adaptive Network Fuzzy Inference Systems (ANFIS); Type-1; Interval Type-2; Unscaled Mean Bounded Relative Absolute Error (UMBRAE); Direct Approach (DA);
Online Access:https://eprints.nottingham.ac.uk/49442/

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