Titlebook: Computational Intelligence and Intelligent Systems; 6th International Sy Zhenhua Li,Xiang Li,Zhihua Cai Conference proceedings 2012 Springe

裂縫

留戀

https://doi.org/10.1007/978-3-658-11012-3solution. So we present an unsupervised clustering algorithm which combing with genetic algorithm and k-medoids clustering algorithm. All of these methods are efficiently to solve the defects of traditional k-medoids algorithm. And the algorithm can distinguish new attack from already existed attack

巨頭

landfill

Roberta Pearson,Anthony N. Smithuperior in the condition of time restraint comparing with the Genetic Algorithm, and validate the effectiveness of employing the Artificial Fish Swarm Algorithm in resolving dynamic weapon target assignment problem.

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遠足

,Die Erz?hlung in der Literaturwissenschaft,truct SVM prediction model according to the time series data. Comparing with the traditional time series prediction model, SVM prediction models can reveal non-linear, non-stationary and randomness of the time series, and have higher prediction accuracy.

Blanch

Jan Shaw,Philippa Kelly,L. E. Semleronstruction of FP-tree and the discovery of frequent itemsets can be realized simultaneously. Compared with FP-growth, it is not necessary to mine frequent itemsets after the construction of the whole FP-tree in Dynamic-prune. Experimental results show Dynamic-prune is efficient and scalable.

充氣女

秘傳

1865-0929 rnational Symposium on Intelligence Computation and Applications, ISICA 2012, held in Wuhan, China, in October 2012. The 72 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on artificial life, adaptive behavior

Intellectual