Riverol C.  , C. Di Sanctis  , 
    Improving Adaptive-network-based Fuzzy Inference Systems (ANFIS): A Practical Approach,
    Asian Journal of Information Technology,
    Volume 4,Issue 12,
    2005,
    Pages 1208-1212,
    ISSN 1682-3915,
    ajit.2005.1208.1212,
    (https://makhillpublications.co/view-article.php?doi=ajit.2005.1208.1212)
    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.
    Keywords: Wood dryer;fuzzy logic;control process;spectral density;noise