A New Algorithm of Multilayer Feedforword Neural Networks Based  on Single Parameter Coordinate Rotatory Method

Zhang Shaozhong

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A New Algorithm of Multilayer Feedforword Neural Networks Based on Single Parameter Coordinate Rotatory Method

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- A New Algorithm of Multilayer Feedforword Neural Networks Based on Single Parameter Coordinate Rotatory Method
- Acta Electronica Sinica Issue 2, (1999)
- 作者机构：
  
  1. 哈尔滨工业大学计算机系
  2. 哈尔滨工业大学应用数学研究所
  3. 哈尔滨工业大学计算机系哈尔滨工业大学应用数学研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：1999
- 稿件说明：
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[1]张少仲,冯英浚,王雪峰,温健海.基于单参数坐标轮换法的多层前馈型神经网络的一种新型算法[J].电子学报,1999(02):116-117+90.

Zhang Shaozhong. A New Algorithm of Multilayer Feedforword Neural Networks Based on Single Parameter Coordinate Rotatory Method[J]. Acta Electronica Sinica, 1999, (2).
[1]张少仲,冯英浚,王雪峰,温健海.基于单参数坐标轮换法的多层前馈型神经网络的一种新型算法[J].电子学报,1999(02):116-117+90. DOI：

Zhang Shaozhong. A New Algorithm of Multilayer Feedforword Neural Networks Based on Single Parameter Coordinate Rotatory Method[J]. Acta Electronica Sinica, 1999, (2). DOI：

摘要

关于前馈型神经网络，本文提出一种基于单参数坐标轮换法的新型高效算法，并就其计算复杂性方面进行了深入研究．指出本算法之所以收敛速度快，是因为其计算复杂性只与网络单元有关参数关系密切．算例证明了本算法对实际应用问题比ＢＰ算法有明显改进．

Abstract

A new efficient algorithm of feedforward neural networks on single parameter coordinate rotatory method is proposed

and the complexity of calculation is discussed deeply.It shows that the reason why the convergence speed of this algorithm is very quick is the complexity of calculation has close relations with the parameters of network’s nodes only.The numerical experiments prove that the algorithm is improved obviously compared with BP algorithm to solve the practical problem.

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