| 概率神经网络回归、判别与聚类 |
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| 引用本文： | 成奇明,张树京.概率神经网络回归、判别与聚类[J].北京交通大学学报(自然科学版),1993(4). |
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| 作者姓名： | 成奇明 张树京 |
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| 作者单位： | 北方交通大学信息科学研究所，北方交通大学信息科学研究所 |
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| 摘 要： | 本文基于相同结构的概率神经网络,提出了使其具有回归、判别与聚类功能的不同权重学习算法以及通用变元最优选择方法.该网络具有结构和学习算法简单、收敛速度快、易于软件模拟实现等优点,并可方便地应用于预报、控制、决策等领域.
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| 关 键 词： | 回归 决策 聚类分析/神经网络 |
Probabilistic Neural Networks for Regression, Decision and Clustering |
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| Cheng Qiming,Zhang Shujing Institute of Information Science.Probabilistic Neural Networks for Regression, Decision and Clustering[J].JOURNAL OF BEIJING JIAOTONG UNIVERSITY,1993(4). |
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| Authors: | Cheng Qiming Zhang Shujing Institute of Information Science |
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| Institution: | Cheng Qiming;Zhang Shujing Institute of Information Science |
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| Abstract: | Based on probabilistic neural network(PNN),the learning algorithms for regression decision and clustering are presented in this paper.The general method for optimal variable selection is also provided.The advantages of PNN are that it is easy to be implemented with highly parallel structure,to be trained with simple algorithms and to be simulated with software.This network can be widely used in pattern recognition,prediction,control and modeling. |
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| Keywords: | regression decision cluster analysis/artificial neural network |
| 本文献已被 CNKI 等数据库收录！ |
