Titlebook: Life System Modeling and Intelligent Computing; International Confer Kang Li,Xin Li,George W. Irwin Conference proceedings 2010 Springer-Ve

Coagulant

書目名稱Life System Modeling and Intelligent Computing影響因子(影響力)




書目名稱Life System Modeling and Intelligent Computing影響因子(影響力)學(xué)科排名




書目名稱Life System Modeling and Intelligent Computing網(wǎng)絡(luò)公開度




書目名稱Life System Modeling and Intelligent Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Life System Modeling and Intelligent Computing被引頻次




書目名稱Life System Modeling and Intelligent Computing被引頻次學(xué)科排名




書目名稱Life System Modeling and Intelligent Computing年度引用




書目名稱Life System Modeling and Intelligent Computing年度引用學(xué)科排名




書目名稱Life System Modeling and Intelligent Computing讀者反饋




書目名稱Life System Modeling and Intelligent Computing讀者反饋學(xué)科排名

鑲嵌細(xì)工

擦掉

密切關(guān)系

Particle Swarm Optimization Based Clustering: A Comparison of Different Cluster Validity Indicesctively. By applying the proposed algorithm to a number of artificial synthesized data and UCI data, the performance of different validity indices are compared in terms of clustering accuracy and robustness at length.

盡管

Entrancing

Application of Radial Basis Function Neural Network in Modeling Wastewater Sludge Recycle Systemulation shows good estimates for the sludge recycling flowrate. So the idea and model is a good way to the sludge recycle flow rate control. It is a meaningful Evolutionary Neural Network application in industry.

craving

A General Framework for High-Dimensional Data Reduction Using Unsupervised Bayesian Modelin unsupervised Bayesian literature by using appropriate abundance prior distributions. The posterior distributions of the unknown model parameters are then derived. Experimental results on hyperspectral data demonstrate useful properties of the proposed reduction algorithm.

EWER

有說服力

Aplication of the Single Neuron PID Controller on the Simulated Chassis Dynamometerm using single neuron self-adaptive PID algorithm was simulated and laboratory dates obtained on the improved chassis dynamometer was compared with datas conducted on the real road. Results show that: the single neuron self-adaptive PID controller has simpler structure, stronger self-adaptive ability and can replace the traditional PID controller.

減弱不好