New algorithms of an artificial neural network ART-1 training

Yu. Rashchenko, V. Kozynchenko
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Abstract

The paper considers a new algorithm for training of the artificial neural network ART-1, based on simulation of a biosimilar property of short-term memory. A modified neural network is realized as a computer model, comparative testing of classical and modified networks is carried out, its results are analyzed.
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人工神经网络ART-1训练的新算法
本文提出了一种基于短期记忆生物相似特性模拟的人工神经网络ART-1训练新算法。将改进后的神经网络作为计算机模型实现,对经典网络和改进后的神经网络进行了对比测试,并对其结果进行了分析。
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