The design of intelligent washing machine controller based on FIS & ANFIS
Sanju Kaler, Rajeev Gupta · 2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC) · 2017
This Software estimate precision is among the greatest challenges for software developers. Now days some soft computing techniques are widely used, which are fuzzy system, neural network and adaptive Neurofuzzy system. In this paper, we have design a fuzzy inference system to find the cleanness of clothes depend on the inputs washing powder, washing time and temperature of water. The output of FIS is compare with real output and get the best results. Here, we have design one more model Adaptive fuzzy inference using neural network and get the output cleanness of clothes depend on same input values and compare with real output. After that compare both models output and get minimum error. So we can use these controllers in our washing machine for better results and minimum error. These models are built in MATLAB toolbox FIS and ANFIS.