Titlebook: Intelligent Data Engineering and Automated Learning -- IDEAL 2012; 13th International C Hujun Yin,José A. F. Costa,Guilherme Barreto Confer

摇尾乞怜

书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2012影响因子(影响力)




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2012影响因子(影响力)学科排名




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2012网络公开度




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2012网络公开度学科排名




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2012被引频次




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2012被引频次学科排名




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2012年度引用




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2012年度引用学科排名




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2012读者反馈




书目名称Intelligent Data Engineering and Automated Learning -- IDEAL 2012读者反馈学科排名

Emasculate

Population Resizing Using Nonlinear Dynamics in an Ecology-Based Approach use of population dynamics. The ECO algorithm with population dynamics performed better than the other approaches, possibly thanks to the ecological interactions (intra and inter-habitats) that enabled the co-evolution of populations and to a more natural survival selection mechanism by the use of population dynamics.

BOAST

Segmentation of Mammography by Applying Extreme Learning Machine in Tumor Detectionate, being able to segment the region of tumor with high accuracy. By comparing ELM with MLP network, it was possible to conclude that ELM has a faster learning time, with a higher training and testing accuracy.

恃强凌弱

改正

Alpha-Cells

A Multiobjective Analysis of Adaptive Clustering Algorithms for the Definition of RBF Neural Networkes composed the decision space, while the RBFNN RMSE and the number of prototypes formed the objective space. The experiments found that ARIA solutions achieved the best results for the multiobjective metrics adopted in this paper.

B-cell

MEEK

抵押贷款

Extensions of Ant-Miner Algorithm to Deal with Class Imbalance Problems paper we propose two extensions of the Ant-Miner algorithm to find better rules to the minority classes. These extensions modify, mainly, how rules are constructed and evaluated. The results show that the proposed algorithms found better rules to the minority classes, considering predictive accuracy and simplicity of the discovered rule list.

ambivalence