文件名称:Hermit多项式在线学习ran算法
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Windows] [Visual C] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 8kb
- 下载次数：
- 0次
- 提 供 者：
- 刘*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
本程序用资源分配网(Resource_Allocation Network,简称RAN)实现了Hermit多项式在线学习问题。训练样本产生方式如下，样本数400，每个样本输入Xi在区间[-4,4]内随机产生（均匀分布），相关样本输出为F(Xi) = 1.1(1-Xi + Xi2)exp(-Xi2/2),测试样本输入在[-4，+4]内以0.04为间隔等距产生，共201个样本。训练结束后的隐节点为：11个，训练结束后的平均误差可达：0.03
-this program resources distribution network (Resource_Allocation Network , RAN) to achieve the Hermit polynomial online learning problems. Training samples have the following manner, the number of 400 samples, each sample interval in the importation of Xi [-4, 4] within randomly generated (evenly distributed) sample output related to F (Xi) = 1.1 (1-Xi Xi2) exp (-Xi2/2), test samples of the imported [-4, 4] to within 0.04 of equidistant spacing have a total of 201 samples. After the training of hidden nodes : 11, after the end of the training error of up to the average : 0.03
-this program resources distribution network (Resource_Allocation Network , RAN) to achieve the Hermit polynomial online learning problems. Training samples have the following manner, the number of 400 samples, each sample interval in the importation of Xi [-4, 4] within randomly generated (evenly distributed) sample output related to F (Xi) = 1.1 (1-Xi Xi2) exp (-Xi2/2), test samples of the imported [-4, 4] to within 0.04 of equidistant spacing have a total of 201 samples. After the training of hidden nodes : 11, after the end of the training error of up to the average : 0.03
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下载文件列表
ran
...\Debug
...\RAN.BAK
...\RAN.CPP
...\ran.dsp
...\ran.dsw
...\ran.ncb
...\ran.opt
...\Debug
...\RAN.BAK
...\RAN.CPP
...\ran.dsp
...\ran.dsw
...\ran.ncb
...\ran.opt