[1]叶? 涛,朱学峰.关于过程神经元网络的理论探讨[J].智能系统学报,2007,2(5):1-6.
YE Tao,ZHU Xue-feng.Theoretical discussion on the process neural network the ory[J].CAAI Transactions on Intelligent Systems,2007,2(5):1-6.
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YE Tao,ZHU Xue-feng.Theoretical discussion on the process neural network the ory[J].CAAI Transactions on Intelligent Systems,2007,2(5):1-6.
关于过程神经元网络的理论探讨
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
2
期数:
2007年第5期
页码:
1-6
栏目:
综述
出版日期:
2007-10-25
- Title:
- Theoretical discussion on the process neural network the ory
- 文章编号:
- 1673- 4785(2007)05-0001-06
- Keywords:
- artificial neural networks; process neuron; function orthogonal basis; Fourier s eries; feature expansion
- 分类号:
- TP183
- 文献标志码:
- A
- 摘要:
- 过程神经元网络是一种适合于处理过程式信号输入的网络，其基本单元是过程神经元——新近出现的神经元模型.过程神经元和传统神经元有着本质的区别，但二者之间也存在着紧密的联系，前者可用后者以任意精度无限逼近.文中给出2个定理及其详细证明，分别论述了过程神经元的2种传统神经元逼近模型:时域特征扩展模型和正交分解特征扩展模型. 基于第2个定理，给出了过程神经元网络相关的2个推论.最后，针对过程神经元网络面临的主要问题进行讨论，指出了一些具有前景的研究方向.文中得到的结果对过程神经元模型及其网络的研究具有一定的理论意义.
- Abstract:
- Process neural networks (PNNs) are networks suitable for processing signal input , whose elementary unit is the process neuron, a newly developed neuron model. T he process neuron is different from traditional neurons in nature, but there is an inherent relationship between them. The former can be infinitely approached b y the latter with arbitrary precision. Two theorems are presented and proved in this paper, giving two models for approaching corresponding process neurons:the timedomain feature expansion model and the orthogonal decomposition feature e xpansion model. And two corollaries are given based on the second theorem. Final ly, some problems with PNNs are discussed and several research topics suggested. The conclusions are significant to theoretical research on process neurons and PNNs.
- 参考文献/References:
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备注/Memo
收稿日期：2007-01-08.
基金项目：国家自然科学基金资助项目（60274033, 6 0404013）.
作者简介：
叶 涛，男，1976年生，博士研究生，主要研究方向为智能检测与智能控制、数据挖掘、机器学习、远程数据采集和监控.已发表论文7篇，其中EI检索4篇，ISTP检索1篇. E-mail: towerye@21cn.com.
?朱学峰，男，1940年生，教授、博士生导师，中国自动化学会理事、广州市自动化学会理事长. 主要研究方向为过程先进控制策略、智能控制与智能检测、软测量技术等. 曾获教育部科技二等奖和广东省科技二等奖.发表论文近200篇. E-mail: xfzhu@scut.edu.cn.
更新日期/Last Update:
2009-05-07