Strong Convergence of Neuro-Fuzzy Learning With Adaptive Momentum for Complex System

This paper studies a split-complex-valued neuro-fuzzy algorithm for fuzzy inference system, which realizes a frequently used zero-order Takagi-Sugeno-Kang system. Here, adaptive momentum is utilized to speed up the learning convergence. Some strong convergence results are demonstrated based on the w...

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Bibliographic Details
Main Authors: Yan Liu, Fang Liu, Long Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8676116/