A fuzzy filter for improving the quality of the signal in adaptive-network-based fuzzy inference systems (ANFIS)

Authors:
C. Riverol;C. Di Sanctis
Affiliations:
Department of Chemical Engineering, University of West Indies, St. Augustine, West Indies, Republic of Trinidad and Tobago;Project Department, Armach Engineering, Av. Las Acacias, Caracas, Venezuela
Venue:
Applied Soft Computing
Year:
2009

Citing 2
Cited 2

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Abstract

This study is addressed to improve the quality of the signal of the Adaptive-Network based Fuzzy Inference System (ANFIS) reducing the level of fluctuations in the output due to periodical disturbances. The fuzzy filter computes the disturbances as periodic signals with two components, one at high frequency and another at low frequency. It was incorporated in the layer 0 of the network reducing iteratively effectively the heavy noise.