We propose a novel approach for building a type-2 neural-fuzzy system from a given set of input-output training data. A self-constructing fuzzy clustering method is used to partition the training dataset into clusters through input-similarity and output-similarity tests. The membership function associated with each cluster is defined with the mean and deviation of the data points included in the cluster. Then a type-2 fuzzy Takagi-Sugeno-Kang IF-THEN rule is derived from each cluster to form a fuzzy rule base. A fuzzy neural network is constructed accordingly and the associated parameters are refined by a hybrid learning algorithm which incorporates particle swarm optimization and a least squares estimation. For a new input, a corresponding crisp output of the system is obtained by combining the inferred results of all the rules into a type-2 fuzzy set, which is then defuzzified by applying a refined type reduction algorithm. Experimental results are presented to demonstrate the effectiveness of our proposed approach.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : A Prediction Approach for Stock Market Volatility Based on Time Series Data ABSTRACT: Due to its widespread application in numerous practical domains, time series analysis and forecasting are crucial. When we
PROJECT TITLE : Depth Reconstruction From Sparse Samples: Representation, Algorithm, and Sampling - 2015 ABSTRACT: The fast development of 3D technology and computer vision applications has motivated a thrust of methodologies
PROJECT TITLE :Modeling, Limits and Baseline of Voltage Interharmonics Generation in Andean Wind FarmsABSTRACT:The subsequent study focuses on the analysis of voltage interharmonics based mostly on power quality experimental information
PROJECT TITLE :Modeling, Measuring, and Compensating Color Weak VisionABSTRACT:We tend to use strategies from Riemann geometry to investigate transformations between the colour spaces of color-normal and color-weak observers.
PROJECT TITLE :Modeling, Analysis, and Scheduling of Cluster Tools With Two Independent ArmsABSTRACT:Twin-armed cluster tools for semiconductor manufacturing sometimes have had two arms fixed in opposite directions. Recently,

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry