Titlebook: Computational Collective IntelligenceTechnologies and Applications; Third International Piotr Jędrzejowicz,Ngoc Thanh Nguyen,Kiem Hoang Co

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书目名称Computational Collective IntelligenceTechnologies and Applications影响因子(影响力)




书目名称Computational Collective IntelligenceTechnologies and Applications影响因子(影响力)学科排名




书目名称Computational Collective IntelligenceTechnologies and Applications网络公开度




书目名称Computational Collective IntelligenceTechnologies and Applications网络公开度学科排名




书目名称Computational Collective IntelligenceTechnologies and Applications被引频次




书目名称Computational Collective IntelligenceTechnologies and Applications被引频次学科排名




书目名称Computational Collective IntelligenceTechnologies and Applications年度引用




书目名称Computational Collective IntelligenceTechnologies and Applications年度引用学科排名




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书目名称Computational Collective IntelligenceTechnologies and Applications读者反馈学科排名

含糊

昆虫

Assessments of chemical mixturesion (PSO), Ant Colony System (ACS), Stochastic Diffusion Search (SDS), Bacteria Foraging (BF), the Artificial Bee Colony (ABC), and so on. Besides the applications to conventional optimization problems, SI can be used in controlling robots and unmanned vehicles, predicting social behaviors, enhancin

光亮

Descriptors of the chemical structuresimization approach based on an evolutionary approach. The model is designed for big and complex datasets. First, the data is clustered in a hierarchical way and then using different level of cluster and random choice of training vectors several MLP networks are trained. At the test phase, each netwo

Daily-Value

无孔

Polymeric Hydrocarbons with Pendant Groups,l as mining of data streams, web, and software bugs. Although several efficient techniques for generating frequent itemsets with a minimum support (frequency) have been proposed, the number of itemsets produced is in many cases too large for effective usage in real-life applications. Indeed, the pro

无孔

Organising Civil Society by Setting Rules,atures and several classifiers. The study is focused on how features’ selection affects classifier efficiency with special attention given to random forests. Different construction methods of decision trees are considered. Others classifiers (k nearest neighbors, decision trees and classifier with M

GULLY

Coterminous

Phenomenal Aspects of the Self,terion for Fuzzy C-means. It also presents experimental results concerning them..As other validity indices, solution presented in this paper may be used when a need for assessing of clustering or fuzzy clustering result adequacy arises. Most common example of such situation is when clustering algori

Muscularis