全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

改进的GGAPRBF算法及其在函数逼近中的应用

, PP. 230-235

Keywords: 径向基函数(RBF)神经网络,广义增长剪枝径向基函数(GGAPRBF)算法,Benchmark问题,删除策略

Full-Text   Cite this paper   Add to My Lib

Abstract:

在GGAPRBF算法的基础上,提出RBF神经网络的一种改进算法,结合网络中隐层神经元径向基函数的宽度自适应调整算法和重合度阈值的动态调整方法.通过函数逼近领域中的3个Benchmark问题,改进算法与RAN、RANEKF、MRAN、IRAN和GGAPRBF(GAPRBF)算法做比较.仿真结果表明在需要较少隐层神经元和训练时间前提下,改进算法训练的网络有较好的泛化能力.

References

[1]  Platt J. A ResourceAllocating Network for Function Interpolation. Neural Computation, 1991, 3(2): 213225
[2]  Kadirkamanathan V, Niranjan M. A Function Estimation Approach to Sequential Learning with Neural Networks. Neural Computation, 1993, 5(6): 954975
[3]  Lu Y W, Sunderararjan N, Saratchandran P. A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks. Neural Computation, 1997, 9(2): 461478
[4]  Lai Xiaoping, Li Bin. An Efficient Learning Algorithm Generating Small RBF Neural Networks. Neural Network World, 2005, 15(6): 523533
[5]  Huang Guangbin, Saratchandran P, Sundararajan N. An Efficient Sequential Learning Algorithm for Growing and Pruning RBF (GAPRBF) Networks. IEEE Trans on Systems, Man, and Cybernetics, 2004, 34(6): 22842292
[6]  Huang Guangbin, Saratchandran P, Sundararajan N. A Generalized Growing and Pruning RBF (GGAPRBF) Neural Network for Function Approximation. IEEE Trans on Neural Networks, 2005, 16(1): 5767
[7]  Yang Ge, Lü Jianhong, Liu Zhiyuan. A New Sequential Learning Algorithm for RBF Neural Networks. Science in China Series E: Engineering and Materials Science, 2004, 47(4): 447460
[8]  Wang Ying, Huang Guangbin. SelfAdjustment of Neuron Impact Width in Growing and Pruning RBF (GAPRBF) Neuron Networks // Proc of the Joint Conference of the 4th International Conference on Information, Communications and Signal Processing. Singapore, Singapore: IEEE Press, 2003, Ⅱ: 10141017
[9]  Li Bin. An Improvement of the RAN Learning Algorithm. Pattern Recognition and Artificial Intelligence,2006, 19(2): 220226 (in Chinese) (李 彬. 一种改进的RAN学习算法. 模式识别与人工智能, 2006, 19(2): 220226)
[10]  Li Y, Sundararajan N, Saratchandran P. Analysis of Minimal Radial Basis Function Network Algorithm for RealTime Identification of Nonlinear Dynamic Systems. IEE Proceedings: Control Theory and Applications, 2000, 147(4): 476484
[11]  Blake C , Merz J. UCI Repository of Machine Learning Databases [DB/OL]. [20050415]. http://ics.uci.edu/~mlearn/MLRepository.html

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133