Age Prediction and Performance Comparison by Adaptive Network based Fuzzy Inference System using Subtractive Clustering

Provided by: Creative Commons
Topic: Data Management
Format: PDF
To integrate the best features of fuzzy systems and neural networks, a data mining approach with ANFIS is applied on all features of Abalone and Monk's problem dataset. This paper is to reduce the RMSE with fewer numbers of rules in order to achieve high speed and less time consumed in both learning and application phases. For calculating effective RMSE, an adaptive fuzzy inference system with subtractive clustering is proposed. Effective partition of input space is done and loaded into the ANFIS editor.

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