文件名称:kohonen
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [C/C++] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 176kb
- 下载次数:
- 0次
- 提 供 者:
- Lu***
- 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
This program is a simple demonstration of a Kohonen self-organizing neural network. The program merely maps itself to a set of coordinates ranging from -0.5 to 0.5 on both the x and y-axis.
The program layout is very simple - the Run button will start the network. Note, this may take some time, so be patient! Note that phase is shown in the title bar. The two edit controls at the right are the Phase 1 (top) and Phase 2 (bottom) iterations. Alter these values to see how it affects the learning of the program.
During Phase 1, the learning coefficient, k, goes from 0.9 to 0.01, linearly decreasing with the iterations. The neighbourhood, Nx is set at half the diameter of the net, and also linearly decreases. During Phase 2, k decreases from 0.1 to 0.0, with Nx fixed at 1.-This program is a simple demonstration of a Kohonen self-organizing neural network. The program merely maps itself to a set of coordinates ranging from-0.5 to 0.5 on both the x and y-axis.
The program layout is very simple- the Run button will start the network. Note, this may take some time, so be patient! Note that phase is shown in the title bar. The two edit controls at the right are the Phase 1 (top) and Phase 2 (bottom) iterations. Alter these values to see how it affects the learning of the program.
During Phase 1, the learning coefficient, k, goes from 0.9 to 0.01, linearly decreasing with the iterations. The neighbourhood, Nx is set at half the diameter of the net, and also linearly decreases. During Phase 2, k decreases from 0.1 to 0.0, with Nx fixed at 1.
The program layout is very simple - the Run button will start the network. Note, this may take some time, so be patient! Note that phase is shown in the title bar. The two edit controls at the right are the Phase 1 (top) and Phase 2 (bottom) iterations. Alter these values to see how it affects the learning of the program.
During Phase 1, the learning coefficient, k, goes from 0.9 to 0.01, linearly decreasing with the iterations. The neighbourhood, Nx is set at half the diameter of the net, and also linearly decreases. During Phase 2, k decreases from 0.1 to 0.0, with Nx fixed at 1.-This program is a simple demonstration of a Kohonen self-organizing neural network. The program merely maps itself to a set of coordinates ranging from-0.5 to 0.5 on both the x and y-axis.
The program layout is very simple- the Run button will start the network. Note, this may take some time, so be patient! Note that phase is shown in the title bar. The two edit controls at the right are the Phase 1 (top) and Phase 2 (bottom) iterations. Alter these values to see how it affects the learning of the program.
During Phase 1, the learning coefficient, k, goes from 0.9 to 0.01, linearly decreasing with the iterations. The neighbourhood, Nx is set at half the diameter of the net, and also linearly decreases. During Phase 2, k decreases from 0.1 to 0.0, with Nx fixed at 1.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
kohonen\desktop.ini
.......\kohonen\code.cod
.......\.......\count.awk
.......\.......\data1.dat
.......\.......\data2.dat
.......\.......\doit
.......\.......\gendat.c
.......\.......\kohonen.doc
.......\.......\kohonen.h
.......\.......\ko_class.c
.......\.......\...dos\KO_CLASS.EXE
.......\.......\......\KO_INIT.EXE
.......\.......\......\KO_LABEL.EXE
.......\.......\......\KO_TRAIN.EXE
.......\.......\ko_init.c
.......\.......\ko_io.c
.......\.......\ko_label.c
.......\.......\ko_train.c
.......\.......\ko_work.c
.......\.......\makefile
.......\.......\my_rand.c
.......\.......\my_rand.h
.......\.......\testcode.cod
.......\.......\ko_dos
.......\kohonen
kohonen
.......\kohonen\code.cod
.......\.......\count.awk
.......\.......\data1.dat
.......\.......\data2.dat
.......\.......\doit
.......\.......\gendat.c
.......\.......\kohonen.doc
.......\.......\kohonen.h
.......\.......\ko_class.c
.......\.......\...dos\KO_CLASS.EXE
.......\.......\......\KO_INIT.EXE
.......\.......\......\KO_LABEL.EXE
.......\.......\......\KO_TRAIN.EXE
.......\.......\ko_init.c
.......\.......\ko_io.c
.......\.......\ko_label.c
.......\.......\ko_train.c
.......\.......\ko_work.c
.......\.......\makefile
.......\.......\my_rand.c
.......\.......\my_rand.h
.......\.......\testcode.cod
.......\.......\ko_dos
.......\kohonen
kohonen