Fuzzy and Adaptive Neuro-Fuzzy Inference System of Washing Machine
Rana Waleed Hndoosh · 2012
Software estimation accuracy is among the greatest challenges for software developers. Fuzzy set theory, Fuzzy system and Neural Networks techniques seem very well suited for typical geotechnical problems. In conjunction with software computing and conventional mathematical methods, hybrid methods can be developed that may prove to be a step forward in modeling geotechnical problems. This study aimed at building two different models, Fuzzy Inference Systems and Adaptive Neuro Fuzzy Inference System and a comparison between them, through an application to real data of the relationship between three inputs (time, temperature of water and the amount of washing powder) during the washing process by using washing machine to get the best result for the cleanness of clothes, where we apply this application at real data. It also provides a natural relationship for combining both numerical information in the form of input/output pairs and linguistic information in the form of If–Then rules in a uniform fashion. The proposed algorithm is achieved by the intelligent system FIS and ANFIS.