基于新误差度量的多层人工神经网络数据字典分类

J. Shrivastava, M. H. Bindu
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引用次数: 0

摘要

人工神经网络技术的灵感来自于生物神经元。过去,人工神经网络被用作数据分类技术。本文采用人工神经网络作为数据分类器。在数据分类中考虑了新的误差度量。本文给出的结果清楚地表明,人工神经网络可以作为一个非常好的分类器与新的误差度量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Dictionary Classification using Multilayer Artificial Neural Network with New Error Metrics
The ANN technique is inspired by biological neurons. In past, Artificial Neural Networks has been used as a data classification technique. In this paper, artificial neural network is used as a data classifier. Here, new error metric are considered in the data classification. The results presented in the paper, clearly shows that ANN can acts as a very good classifier with new error metrics.
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