文件名称:A_very_sim977756232002-457852ngfppr2567
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [Windows] [Visual C] [Basic/ASP] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 6kb
- 下载次数:
- 0次
- 提 供 者:
- a**
- 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
A very simple example of Neural Networks using back propagation This program is a simple example of Neural Networks using back propagation. My code has all basic functionalities like learning rate, load net, save net, etc. You can have as many layers as you can. The code here is extensible ie you can use my code in your programs to implement neural networks. Here a sample problem and network is given. Load the network with name "XOR.nn". It solves XOR problem. Please don t forget to give comments, credits and most important your VOTE!. And note if Neural Networks and back propagation is a mystery for you I can write a tutorial on nn and back propagation. Just tell me, if you want it, via feedback. And also, if you create another application using my neural networks please inform me. MadeBy: Paras Chopra CEO, NaramCheez paraschopra@lycos.com - A very simple example of Neural Networks using back propagation This program is a simple example of Neural Networks using back propagation. My code has all basic functionalities like learning rate, load net, save net, etc. You can have as many layers as you can. The code here is extensible ie you can use my code in your programs to implement neural networks. Here a sample problem and network is given. Load the network with name "XOR.nn". It solves XOR problem. Please don t forget to give comments, credits and most important your VOTE!. And note if Neural Networks and back propagation is a mystery for you I can write a tutorial on nn and back propagation. Just tell me, if you want it, via feedback. And also, if you create another application using my neural networks please inform me. MadeBy: Paras Chopra CEO, NaramCheez paraschopra@lycos.com
(系统自动生成,下载前可以参看下载内容)
下载文件列表
A_very_sim977756232002 457852ngfppr2567\frmNN.frm
.......................................\modNN.bas
.......................................\prjNN.vbp
.......................................\prjNN.vbw
.......................................\readme.txt
.......................................\XOR.nn
A_very_sim977756232002 457852ngfppr2567
.......................................\modNN.bas
.......................................\prjNN.vbp
.......................................\prjNN.vbw
.......................................\readme.txt
.......................................\XOR.nn
A_very_sim977756232002 457852ngfppr2567