Image Classification and Recognition on the Base of Autoassociative Neural Network Usage

被引：0
|
作者：
Khavalko, Viktor [1 ]
Tsmots, Ivan [1 ]
机构：
[1] Lviv Polytech Natl Univ, Dept Automated Control Syst, Lvov, Ukraine
来源：
2019 IEEE 2ND UKRAINE CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (UKRCON-2019) | 2019年
关键词：
image classification; neural network; image recognition; system of technical vision; model of successive geometric transformations;
D O I：
10.1109/ukrcon.2019.8879774
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The problem of images classification is considered. It is proposed to use the autoassociative neural networks based on the model of successive geometric transformations for this problem solving. The advantages and disadvantages of this approach are considered, as well as ways to improve the accuracy of image classification.
引用
收藏
页码：1118 / 1121
页数：4
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