Titlebook: Computational Intelligence and Intelligent Systems; 4th International Sy Zhihua Cai,Zhenhua Li,Yong Liu Conference proceedings 2009 Springe

GLOAT

书目名称Computational Intelligence and Intelligent Systems影响因子(影响力)




书目名称Computational Intelligence and Intelligent Systems影响因子(影响力)学科排名




书目名称Computational Intelligence and Intelligent Systems网络公开度




书目名称Computational Intelligence and Intelligent Systems网络公开度学科排名




书目名称Computational Intelligence and Intelligent Systems被引频次




书目名称Computational Intelligence and Intelligent Systems被引频次学科排名




书目名称Computational Intelligence and Intelligent Systems年度引用




书目名称Computational Intelligence and Intelligent Systems年度引用学科排名




书目名称Computational Intelligence and Intelligent Systems读者反馈




书目名称Computational Intelligence and Intelligent Systems读者反馈学科排名

TAP

Almost Periodic Solutions for Shunting Inhibitory Cellular Neural Networks with Time-Varying and Disf some new suffcient conditions for the existence and exponential stability of the almost periodic solutions without assuming the global Lipschitz conditions of activation functions. Finally, it presents a numerical example to demonstrate the effectiveness of the obtained result.

暂时休息

https://doi.org/10.1007/978-3-642-04962-0SAT problems; artificial intelligence; avolutionary algorithms; computational intelligence; evolution; ev

Common-Migraine

978-3-642-04961-3Springer-Verlag Berlin Heidelberg 2009

CAND

并置

L. A. Peduti-Cunha,J. A. F. Caldeirato result in the network congestion and instability. In order to solve this problem, this paper improved the current routing algorithm based on the Ant algorithm. For achieving the optimal routing, the algorithm amended the routing gradually. In the routing search, it also avoided the randomization

并置

R. M. L. Doran,S. Yarde,A. Starbuckh complex nonlinearity and time-variance, an adaptive soft sensing model based on sliding-widow recursive PLS (RPLS) is presented to build a prediction model for the Mooney-viscosity of rubber mixture. The improved RPLS model can adaptively adjust the structures and parameters of PLS model according

agenda

Entwicklung des mon- und binokularen Sehens,hot research spots for domestic and foreign experts or scholars. This paper mainly proposes an optimization method of network planning project by using an improved genetic algorithm for solving complex parallel multi-task scheduling problems. It used a method that gradually increases the number of p

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