Asian Journal of Information Technology

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Improving Adaptive-network-based Fuzzy Inference Systems (ANFIS): A Practical Approach

Riverol C. and C. Di Sanctis
Page: 1208-1212 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

This study is addressed to improving the quality of the signal of the ANFIS (Adaptive-Network-based Fuzzy Inference System) 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 other at low frequency. The filter was incorporated in the layer 0 and it can be applied iteratively to effectively reduce heavy noise.

How to cite this article:

Riverol C. and C. Di Sanctis . Improving Adaptive-network-based Fuzzy Inference Systems (ANFIS): A Practical Approach.
DOI: https://doi.org/10.36478/ajit.2005.1208.1212
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2005.1208.1212