Data Filteration in Neuro-Fuzzy System Using Matlab

This paper is based upon collaboration of Neural Network, Fuzzy Logic and Association rules used in ASP.NET integrated with soft computing. This paper basically comprises on the concept of neuro fuzzy system by applying different types of filters with respect to associativity. Neocognitron algorithm is used for sensing fuzzy rules by detecting multiple patterns. A large pattern is divided into multiple parts until it becomes single cell to process the structure. Neural Network and Fuzzy logic deals with un-ambiguity in data. It provides clear and precise view of data which helps to deal with real life problems. Association rule is a procedure which is meant to find frequent patterns, correlations or casual structures from data sets found in database. Frequent patterns are patterns that appear frequently in a data set. The. NET Framework is a library used to create both computers based and web based applications. ASP.NET is a web based developed platforms, which provides a programming model, a comprehensive software infrastructure to build up robust web applications. In this paper, Air Conditioner application has been implemented in MATLAB and compares the compressor speed via Fuzzy System and Neuro-Fuzzy System.