Titlebook: Advances in Swarm Intelligence; First International Ying Tan,Yuhui Shi,Kay Chen Tan Conference proceedings 2010 Springer-Verlag Berlin Hei

固执已见

书目名称Advances in Swarm Intelligence影响因子(影响力)




书目名称Advances in Swarm Intelligence影响因子(影响力)学科排名




书目名称Advances in Swarm Intelligence网络公开度




书目名称Advances in Swarm Intelligence网络公开度学科排名




书目名称Advances in Swarm Intelligence被引频次




书目名称Advances in Swarm Intelligence被引频次学科排名




书目名称Advances in Swarm Intelligence年度引用




书目名称Advances in Swarm Intelligence年度引用学科排名




书目名称Advances in Swarm Intelligence读者反馈




书目名称Advances in Swarm Intelligence读者反馈学科排名

Lament

AVANT

Ying Tan,Yuhui Shi,Kay Chen TanFast track conference proceedings.Unique visibility.State of the art research

有特色

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149958.jpg

盟军

M.-C. Desjonquères,D. Spanjaardibility distribution for the fuzzy variable. In this paper, we seek a similar characterization of the joint possibility distribution for a pair of fuzzy variables. In view of the success of introducing the expected value and variance as fuzzy integrals of appropriate functions of single fuzzy variab

占线

正论

Electronic Structure of Surfaces,e validity index for network fuzzy clustering is proposed, which involves the compactness and separation measures for each cluster. The simulated annealing strategy is used to minimize this validity index, associating with a dissimilarity-index-based fuzzy .-means iterative procedure, under the fram

从容

M.-C. Desjonquères,D. Spanjaardce with fuzzy interference to build a fault diagnosis model, and use fuzzy network to improve the model. The result of simulation proved that this model can absorb the experiences of human and make accurate judgments; the trained fuzzy network has the same function and can reach the self-learning de

Congregate

Overview of the reference model,x trace that controls the distances between the class centroids. Based on the principle of cluster centers separation, fuzzy cluster centers separation (FCCS) clustering is an extended fuzzy c-means (FCM) clustering algorithm. FCCS attaches importance to both the fuzzy within cluster scatter matrix

山羊

Overview of the reference model,(E-S) model for portfolio optimization problem. Since the spread is defined by Lebesgue-Stieltjes (L-S) integral, its computation for general fuzzy variables is a challenge issue for research, and usually depends on approximation scheme and soft computing. But for frequently used trapezoidal and tri