基于特征加权的Category ART网络及应用

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英文篇名：Feature Weighted Based Category ART Network and Its Application 中文刊名：计算机工程 英文刊名：Computer Engineering 作者：丁智国 ; 刘悦 ; 吴耿锋 英文作者：DING Zhiguo1 ; 2 ; LIU Yue1 ; WU Gengfeng1(1.School of Computer Engineering & Science ; Shanghai University ; Shanghai 200072 ; 2.School of Information Science & Engineering ; Zhejiang Normal University ; Jinhua 321004) 中文关键词：Category ART神经网络 ; 特征加权 ; 遗传算法 ; 震型预报 英文关键词：Category ART neural network ; Feature weighted ; Genetic algorithm ; Earthquake type prediction 出版日期：2007-04-20 机构：上海大学计算机工程与科学学院,上海大学计算机工程与科学学院,上海大学计算机工程与科学学院 上海200072,浙江师范大学信息科学与工程学院,金华321004,上海200072,上海200072 年：2007 期：08 出版单位：计算机工程

摘要

特征加权是特征选择的一般情况,它能更加细致地区分特征对结果影响的程度,往往能够获得比特征选择更好的或者至少相等的性能。该文采用自适应遗传算法来优化Category ART网络的特征权值,提出了一种改进的Category ART网络FWART。在UCI标准数据集上的实验表明,FWART网络获得了比Category ART网络更好的泛化能力。将该网络应用在地震震型预报上,取得了很好的预报效果。
Feature weighted is the general case of feature selection,which has better performance than(or at least has the same performance as) feature selection.In this paper,feature weighted is employed to improve the classification accuracy of the category ART networks.A novel network named FWART network is proposed,in which the self-adaptive genetic algorithm is used to optimize the weight vector.Experiments on the UCI datasets show that the FWART has better generalization power than Category ART.It is applied to predict the earthquake type.The result is satisfactory.

引文

1 Wen W X,Liu H.A Feature Weighting Method for Inductive Learning[C]//Proc.of the 3rd PRICAI.1994:338-344.
    2 Komosinski M,Krawiec K.Evolutionary Weighting of Image Features for Diagnoses of CNS Tumors[J].Artificial Intelligence in Medicine,2000,19(1):25-38.
    3 David Weenink,Categroy ART:A variation on Adaptive Resonance Theory Neural Net[C]//Proc.of IFA International Conference.1997:117.
    4 Hussein F,Kharma N,Ward R.Genetic Algorithms for Feature Selection and Weighting,A Review and Study[C]//Proc.of ICDAR.2001:10-13.
    5刘悦,刘辉,李远,等.基于冲量权值的ART神经网络及其在地震预报中的应用[J].计算机工程与应用,2005,41(5).
    6庄昆元,王炜,黄冰树,等.地震序列类型的确定与现场预报规则的获取[J].中国地震,2001,21(3):15-20.
    7焦远碧.地震序列类型、地震序列b值与地震大形势关系初探[J].中国地震,1998,18(1):33-40.