TY  - JOUR
T1  - Improving Adaptive-network-based Fuzzy Inference Systems (ANFIS): A Practical Approach
AU - , Riverol C. AU - , C. Di Sanctis 
JO  - Asian Journal of Information Technology
VL  - 4
IS  - 12
SP  - 1208
EP  - 1212
PY  - 2005
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2005.1208.1212
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2005.1208.1212
KW  - Wood dryer
KW  -fuzzy logic
KW  -control process
KW  -spectral density
KW  -noise
AB  - 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.
ER  -