Efficient and Reliable Training of Neural Networks

被引：0

作者：

Yu, Hao ^{[1
]}

Wilamowski, Bogdan M. ^{[1
]}

机构：

[1] Auburn Univ, Auburn, AL 36849 USA

来源：

HSI: 2009 2ND CONFERENCE ON HUMAN SYSTEM INTERACTIONS | 2009年

关键词：

neural networks; training tool; ALGORITHM; KNOWLEDGE; SYSTEM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper introduces a neural network training tool, NBN 2.0, which is developed based on neuron by neuron computing method [1][2]. Error backpropagation (EBP) algorithm, Levenberg Marquardt (LM) algorithm and its improved versions are implemented in two different computing methods, traditional forward-backward computation and newly developed forward-only computation. The software can handle not only conventional multilayer perceptron (MLP) networks, but also arbitrarily connected neuron (ACN) networks. Several examples are presented to explain how to use this tool for neural network training. The software is developed based on Visual Studio platform using C++ language and it is available for everyone on the website.

引用

页码：106 / 112

页数：7

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