Analysis of classification by supervised and unsupervised learning

被引：5

作者：

Sapkal, Shubhangi D. ^{[1
]}

Kakarwal, Sangeeta N. ^{[1
]}

Revankar, P. S. ^{[1
]}

机构：

[1] Govt Coll Engn, CSE Dept, Aurangabad, Maharashtra, India

来源：

ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL I, PROCEEDINGS | 2007年

关键词：

supervised learning; unsupervised learning; LVQ and MLP;

D O I：

10.1109/ICCIMA.2007.237

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we have done analysis of supervised and unsupervised learning. We have classified different images by supervised and unsupervised learning methods. 250 object images are used for classification. The techniques used for classification arc Competitive learning, Self-organizing map (SOM) and Learning Vector Quantization (LVQ) networks.

引用

页码：280 / 284

页数：5

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