Fuzzy Rule Based Feature Extraction and Classification of Time Series Signal

Provided by: International Journal of Soft Computing and Engineering (IJSCE)
Topic: Data Management
Format: PDF
Time series signal is a continuous signal which varies continuously with respect to time. These signals involve a great deal of useful information, the information content in these signals can be used for feature extraction and classification. The purpose of feature extraction is to reduce the dimension of feature space and achieving better performances. The features are extracted based on the mathematical calculations like average, maximum, minimum, standard deviation and variance. The classification of extracted features is carried out by fuzzy rule based selection system.

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