Titlebook: Computational Intelligence; Revised and Selected Kurosh Madani,António Dourado Correia,Joaquim Fili Conference proceedings 2012 Springer-Ve

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書目名稱Computational Intelligence影響因子(影響力)




書目名稱Computational Intelligence影響因子(影響力)學(xué)科排名




書目名稱Computational Intelligence網(wǎng)絡(luò)公開度




書目名稱Computational Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Intelligence被引頻次




書目名稱Computational Intelligence被引頻次學(xué)科排名




書目名稱Computational Intelligence年度引用




書目名稱Computational Intelligence年度引用學(xué)科排名




書目名稱Computational Intelligence讀者反饋




書目名稱Computational Intelligence讀者反饋學(xué)科排名

LEVY

On the Foundations of Kinetic Theorys and voice over Internet protocol are all telephony technologies - just one field of telecommunications. Radio, television and networks are a few more examples of telecommunication. Nowadays, the trend in telecommunication networks is having highly decentralized, multi-node networks. From small, ge

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On the Foundations of Kinetic Theorys opponents have been dealt. These simple features result in No-Limit Texas Hold’em Poker having a large decision space in comparison to other classic games such as Backgammon and Chess. Evolutionary algorithms and neural networks have been shown to find solutions in large and non-linear decision sp

Atmosphere

Transition Phenomena in Nonlinear Systemsrent at the first generations whereas they become more similar during the evolving process. In fact, when the evolutionary algorithm finishes most of the best symbolic expressions only differ in some of its coefficients. In this paper we present several coevolutionary strategies of a genetic program

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Transition Phenomena in Nonlinear Systemsty of a group of robots. In particular, we aim at understanding how perception can be the result of a collective, self-organising process. A group of robots is placed in an environment characterised by black spots painted on the ground. The density of the spots is the macroscopic variable that shoul

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形狀

Grigori N. Milstein,Michael V. Tretyakovasures that truly represent the manner in which solution space is traversed are often disregarded in favour of simpler measures. With the genetic algorithm employing both unary and binary operators, it is difficult to quantify the distance between chromosomes with an approach that is truly represent

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