搜索资源列表
CHAPT8
- 神经网络模式识别及其实现，第八章。 内含：KMEANS 、KOHONEN 、LVQ 、SOFM 算法。-pattern recognition and neural network to achieve, Chapter VIII. Intron : KMEANS, KOHONEN, LVQ, SOFM algorithm.
sofm-2
- 正在应用，结果还有待研究，老师留得作业，算法实现选择最优的来响应。-are applications, the results are still to be studied, the teachers stay operational, the algorithm to achieve the optimal choice to respond.
KohonenSOFM
- Kohonen的SOFM(自组织特征映射)源程序，希望大家喜欢-Kohonen's SOFM (self-organizing feature map) source hope you like
SOFM
- implementing the Kohonen self organizing feature map network.-implementing the Kohonen self organizing feature map network.
SOFM
- 基于自组织神经网络的矢量量化编码Ｍatlab程序
Wavelet_Base_Image_Compression_implementation_usin
- 利用Matlab实现的基于小波SOFM的图像压缩算法，在matlab网站下载的，应该具有比较高的参考价值
nn
- Matlab写得神经网络的训练实例，包括BP，RBF，SOFM等多种网络，适合初学者
SOFM
- 基于SOFM颜色聚类的图象分割方法,本资料是通过vc++实现sofm颜色聚类的分割方法-based SOFM color closure image division method
SOMF-lib-and-implementation
- 基于kohonen库的SOFM神经网络实现，内含库文件及说明，以及基于该库文件的实现及实现。-Based kohonen SOFM neural network library, containing library files and instructions, and based on the library implementation and implementation.
SOFM
- 一片关于人工神经网络中的sofm解决TSP问题的改进算法，解决了传统sofm算法的缺点，-One on the artificial neural network to solve TSP problems in sofm improved algorithm to solve the shortcomings of traditional sofm algorithm,
Kohonen-SOFM
- Kohonen的SOFM(自组织特征映射)源程序-Kohonen' s SOFM (self-organizing feature map) source
Neural-network_Code
- 各种神经网络算法的matlab实现，包括BP网络，RBF网络，Hopfield网络，BM网络，SOFM网络，ART网络等-Variety of neural network algorithm matlab implementation, including the BP network, RBF network, Hopfield network, BM network, SOFM network, ART networks
SOFM
- 神经网络的聚类问题的研究和应用，介绍的比较详细-Clustering neural network research and applications, described in more detail
SOFM
- SOFM改进自组织神经网络图像传输（线形邻域，墨西哥草帽）-The SOFM improved self-organizing neural network image transmission (linear neighborhood, Mexican hat)
SOFM
- SOFM，有运行界面，C#，VS编译，可移植性超强-SOFM, a running interface, C#, VS compiler
sofm
- A self-organizing map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional)
SOFM
- 利用自组织映射神经网络进行分类并评价模型性能-Using SOFM to realize the classfication and uating the model performance
SOFM
- 用matlab实现人工智能中的SOFM算法，实现画一张图的效果。-Using matlab to achieve artificial intelligence SOFM algorithm, draw a picture of the effect.
Kohonen的SOFM(自组织特征映射)源程序
- sofm算法的简单实现，供作学习参考使用，学习中(Simple implementation of SOFM algorithm)
SOFM
- 1981年芬兰 一种自组织特征映射网 ， 又称 Kohonen 网 。 Kohonen 认为 ，一个神经网络接受外界输入模式时， 将会分为不同的对应区域， 各区域对输入模式具有不同的响应特征(In 1981, a self organizing feature mapping network, also known as Kohonen network, was used in Finland. Kohonen thinks that when a neural network accepts