A Time-Varying Data Classification Approach Based on ANN with Slide-Window

Ai Ping Chai

doi:10.4028/www.scientific.net/AMM.433-435.731

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435A Time-Varying Data Classification Approach Based...

A Time-Varying Data Classification Approach Based on ANN with Slide-Window

Abstract:

Time-varying data widely exists anywhere in the objective world, and whose diverse distribution as time is a hybrid stochastic process. Whereas, determining how to achieve knowledge from time-varying database is still an important content of data-mining. In fact, existing techniques of data-mining are difficult to deal with this problem. The paper deeply studies and analyses finite dimension distribution function families of stochastic process and gives out existent theorem of time-varying data classification, proposes a new more effective technique called time-varying datasets classification approach based on slide-window neural networks, and gives out smoothing algorithm and convergent condition with solving this problem as well as simulation examples. The result shows the proposed method is a very effective time-varying data classification method.