| 神经网络的结构学习算法研究 |
| |
| 引用本文： | 高协平. 神经网络的结构学习算法研究[J]. 湘潭大学自然科学学报, 1998, 20(4): 10-12 |
| |
| 作者姓名： | 高协平 |
| |
| 作者单位： | 湘潭大学数学系 |
| |
| 基金项目： | 国家自然科学基金,湖南省自然科学基金 |
| |
| 摘 要： | 针对前馈神经网络结构设计困难，传统ＢＰ算法易陷入局部极小、收敛速度慢、对初始权选取敏感等缺陷，通过修改误差函数，提出了一种融结构自适应选择和参数学习于一体的针对一般神经元激活函数的新算法，实验结果表明其高效性．
|
| 关 键 词： | 神经网络；学习算法；误差函数 |
RESEACH ON STRUCTURE LEARNING ALGORITHM OF NEURAL NETWORKS |
| |
| Gao Xieping. RESEACH ON STRUCTURE LEARNING ALGORITHM OF NEURAL NETWORKS[J]. Natural Science Journal of Xiangtan University, 1998, 20(4): 10-12 |
| |
| Authors: | Gao Xieping |
| |
| Abstract: | Aiming at the conventional BP algorithm that has some problems such as difficulity decision for structure, easily trap into local minimum, lower rate of convergence, noise sensitivity. This paper presents an adaptive BP algorithm, called "structureparameter learing algorithm", that it is not only a structure learning but a parameter learning. The simulation results prove the new algorithm's superiority to traditional ones on learning speed and quality. |
| |
| Keywords: | neural networks learning algorithm rrror function |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
