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An approach based on chaos theory and fuzzy neural network (FNN) is proposed for chaotic time series prediction. Firstly, C-C algorithm is applied to estimate the delay time of chaotic signal. Grassberger-Procaccia (G-P) algorithm and least squares regression are employed to calculate the correlation dimension of chaotic signal simultaneously. Considering the difficulty in determining the number of...
This paper gives an efficient hybrid algorithm for real root isolation. It is based on an branch-and-prune algorithm, combination with classical numerical methods, symbolic methods and interval methods. Besides these, there are some intelligent judgments which can improve the system's efficiency signifficantly for some kinds of applications. The algorithm presented here works rather efficiently.
Based on Discovery Feature Sub-space Model (DFSSM), this paper proposes a new web text clustering algorithm which characterizes self-stability and powerful antinoise ability. The definitions of cluster and distance measures in the concept space being given. It can distinguishes the most meaningful features from the Concept Space without the evaluation function. The application in the modern long-distance...
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