文章基本信息

标题：MEMBRAIN NEURAL NETWORK FOR VISUAL PATTERN RECOGNITION
本地全文：下载
作者：Artur Popko ; Artur Popko ; Marek Jakubowski 等
期刊名称：Advances in Science and Technology Research Journal
印刷版ISSN：2080-4075
电子版ISSN：2299-8624
出版年度：2013
卷号：7
期号：18
页码：54-59
DOI：10.5604/20804075.1051257
语种：English
出版社：Society of Polish Mechanical Engineers and Technicians
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.
关键词：neural network;pattern recognition;neuron model