Neural Network Clustering Technology for Cartographic Images Recognition

被引:0
|
作者
Zhukovskyy, Viktor [1 ]
Shatnyi, Serhii [2 ]
Zhukovska, Nataliia [2 ]
Sverstiuk, Andriy [3 ]
机构
[1] Natl Univ Water Management & Environm Management, Dept Appl Math, Rivne, Ukraine
[2] Natl Univ Water & Environm Engn, Dept Comp Engn, Rivne, Ukraine
[3] I Horbachevsky Ternopil Natl Med Univ, Dept Med Informat, Ternopol, Ukraine
来源
IEEE EUROCON 2021 - 19TH INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES | 2021年
关键词
information technology; neural network; teaching method; testing tool; search process; neuron; activation function; weighting factor; cluster; filter; rank-order;
D O I
10.1109/EUROCON52738.2021.9535544
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
It is offered the information system of recognition of cartographic images of soil massifs and classification of landscape areas by types of soil massifs using the neural network. Here was described approaches to architecture design, teaching methods, data preparation for teaching, training and neural network testing. The functional scheme of the neural network is developed, which consists of the input, hidden and output layer, collecting and processing of data, and training algorithm. The analysis of efficiency, speed and accuracy of work of a neural network as a part of information technology is carried out.
引用
收藏
页码:125 / 128
页数:4
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