A FUZZY ARTMAP NONPARAMETRIC PROBABILITY ESTIMATOR FOR NONSTATIONARY PATTERN-RECOGNITION PROBLEMS

被引：72

作者：

CARPENTER, GA ^{[1
]}

GROSSBERG, S ^{[1
]}

REYNOLDS, JH ^{[1
]}

机构：

[1] BOSTON UNIV,DEPT COGNIT & NEURAL SYST,BOSTON,MA 02215

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS | 1995年 / 6卷 / 06期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/72.471374

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An incremental, nonparametric probability estimation procedure using the fuzzy ARTMAP (adaptive resonance theory-supervised predictive mapping) neural network is introduced, In the slow-learning mode, fuzzy ARTMAP searches for patterns of data on which to build ever more accurate estimates, In max-nodes mode, the network initially learns a fixed number of categories, and weights are then adjusted gradually.

引用

页码：1330 / 1336

页数：7

共 6 条

[1]

CARPENTER G, 1992, P IJCNN 92, V1, P794

[2] ARTMAP - SUPERVISED REAL-TIME LEARNING AND CLASSIFICATION OF NONSTATIONARY DATA BY A SELF-ORGANIZING NEURAL NETWORK [J].

CARPENTER, GA ;

GROSSBERG, S ;

REYNOLDS, JH .

NEURAL NETWORKS, 1991, 4 (05) :565-588

[3] A MASSIVELY PARALLEL ARCHITECTURE FOR A SELF-ORGANIZING NEURAL PATTERN-RECOGNITION MACHINE [J].

CARPENTER, GA ;

GROSSBERG, S .

COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1987, 37 (01) :54-115

[4]

GOODMAN P, 1992, P IEEE INT C SYST MA, V1, P748

[5]

GOODMAN P, 1992, P WANG C NEURAM NETW, P48

[6]

LANG KJ, 1989, 1988 P CONN MOD SUMM, P52

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