MEMBRAIN NEURAL NETWORK FOR VISUAL PATTERN RECOGNITION

被引：2

作者：

Popko, Artur ^{[1
]}

Jakubowski, Marek ^{[2
]}

Wawer, Rafal ^{[3
]}

机构：

[1] Lublin Univ Technol, Fundamentals Technol Fac, Ul Nadbystrzycka 38, PL-20618 Lublin, Poland

[2] Lublin Univ Technol, Management Fac, PL-20618 Lublin, Poland

[3] Univ Maria Curie Sklodowska, Multimedia Commun Lab, PL-20011 Lublin, Poland

来源：

ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL | 2013年 / 7卷 / 18期

关键词：

Neural Network; pattern recognition; neuron model;

D O I：

10.5604/20804075.1051257

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Recognition of visual patterns is one of significant applications of Artificial Neural Networks, which partially emulate human thinking in the domain of artificial intelligence. In the paper, a simplified neural approach to recognition of visual patterns is portrayed and discussed. This paper is dedicated for investigators in visual patterns recognition, Artificial Neural Networking and related disciplines. The document describes also MemBrain application environment as a powerful and easy to use neural networks' editor and simulator supporting ANN.

引用

页码：54 / 59

页数：6