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Description: 用Java编写的基于Kohonen神经网络的OCR-Java prepared by the Kohonen neural network-based OCR
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Author: 张华 |
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Description: 自组织 Kohonen 映射程序，当一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。 -Kohonen self-organizing map process, when a neural network to outside input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is done automatically. The neurons connect with the right to a certain value of the distribution. Most neighboring neurons stimulate each other, distant neurons were mutual inhibition, the vision has a weaker stimulus. Self-organizing feature mapping method is a non-teachers clustering method.
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Author: yybb |
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Description: Kohonen的SOFM(自组织特征映射)：这种算法部分收到生物特征影响，在网络输出层内按几何中心或特征进行聚类。-Kohonen the SOFM (self-organizing feature map) : This algorithm received some biological features, the output layer to the network within the geometric center or cluster features.
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Size: 14336 |
Author: 辜小花 |
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Description: LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式。融合了自组织和有导师监督的技术，学习方法是竞争的，但产生方式是有教师监督的，也就是说，竞争学习是在由训练输入指定的各类中局部进行。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning the expansion of the form. The convergence of self-organization and supervision of the instructors, learning methods of competition, but there are ways teachers to supervise, meaning that the competitive learning is the training input from the designated categories of partial.
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Size: 39936 |
Author: 辜小花 |
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Description: Kohonen网络的学习过程可描述为：对于每一个网络的输入，只调整一部分权值，使权向量更接近或更偏离输入矢量，这一调整过程就是竞争学习。随着不断的学习过程，所有输入矢量都在输入矢量空间相互分离，形成了各自代表输入空间的一类模式，这就是Kohonen网络的特征自动识别的聚类功能。请解压缩后按照readme提示进行操作。-Kohonen network learning process can be described as follows : for each one network input, only part of adjusting the weights, weight vector closer to or further from the input vector, the adjustment process is competitive learning. With the continuous process of learning, all the input vector in the importation of vector space separate form their own representatives importation of a type of space, and this is a Kohonen network of automatic clustering functions. Please decompress after readme according to instructions.
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Size: 2543616 |
Author: 尤忠彬 |
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Description: LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式，融合了自组织和有导师监督的技术。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning form of the expansion, integration of self-organization and the technical supervision of instructors.
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Size: 2048 |
Author: 何风 |
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Description: 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.
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Size: 128000 |
Author: 五专 |
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Description: Backpropagation / ART1 / Kohonen / Radial Basis-Backpropagation/ART1/Kohonen/Radial B Fellowships
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Size: 146432 |
Author: jack |
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Description: 神经网络源码可应用于遥感图像分类，包括bp、kohonen等方法-neural network source can be used in remote sensing image classification, including bp, Kohonen methods
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Size: 4096 |
Author: 刘武 |
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Description: Kohonen 网络模拟大脑神经系统自组织特征映射的功能，它是一种竞争式学习网络，在学习中能无监督地进行自组织学习。-Kohonen network simulation system cerebral self-organizing feature mapping function, It is a competitive learning networks, the study can be carried out without supervision from the organizational learning.
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Size: 70656 |
Author: 东方云 |
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Description: 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
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Size: 29696 |
Author: klhkl |
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Description: Kohonen network project适合从事该领域的学生学习-Kohonen network project in the area for the students to learn
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Size: 94208 |
Author: caoyongxin |
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Description: 用bcb所撰寫的kohonen程式,優雅的網狀伸張分佈,將任意維度的input data,reduce至二維x,y平面,competivite learning的最佳範例.-Written by BCB Kohonen program done elegant mesh distribution, will be arbitrary dimension input data, reduce to two-dimensional x, y plane, competivite learning best practices.
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Size: 881664 |
Author: 楊於 |
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Description: LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式。融合了自组织和有导师监督的技术，学习方法是竞争的，但产生方式是有教师监督的，也就是说，竞争学习是在由训练输入指定的各类 中局部进行。-LVQ (learning vector quantization) algorithm: it is the Kohonen s supervised the expansion of the form of learning. Blend of self-organization and supervision of technical mentors, learning methods are competitive, but there is a method of supervision of teachers, that is, competitive learning is specified by the training input for various types of local.
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Size: 36864 |
Author: 杨兵 |
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Description: Kohonen的SOFM(自组织特征映射)：这种算法部分收到生物特征影响，在网络输出层内按几何中心或特征进行聚类。-Kohonen s SOFM (self-organizing feature map): This algorithm received biometric part of the impact of the output layer in the network according to the geometric center or the characteristics of clustering.
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Size: 28672 |
Author: 杨兵 |
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Description: Kohonen神经网络的类代码，代码中有详细的注释
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Size: 4096 |
Author: 和恶毒发 |
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Description: SDL Component suite for D6
SDL 组建是一套支持科学和工程计算的工业控件集，有10万行源码，50个例程.
3D 数据， 3D 数据，地图集，原子符号，β函数的情节的旋转，校验扫描的图像， CAS 登记号码，图表，颜色选择， 常量和兑换率，轮廓绘制，化学结构，化学数据，化学公式，Ｘ分配，群聚，转换程序，曲线适合， 地理数据，基体，图解，目录，配给，矩阵标签， eigenvectors， F-分布， FFT( 快速傅里叶变换) 小圆点的决定因素的数据库， 先进先出，文件和磁盘进入，γ函数，地理地图集，地理地图，坡度填补， grep，同位素， Kohonen 神经网络， KNN( k 最近邻) ，标签开动网络浏览程序，列举意见，地图，数学，矩阵，仪表展示， MLR( 多线性回归)， 分子公式，神经网络，正规分布，数值的输入，数字标签，数字桌子编辑程序，元素周期表，极地的图解， PCA( 主成分分析)，发展酒吧，配给，随便发电机，回归， RLE( 行程编码)，数据的轮流的quantiles， 科学图表， scrollable 展示，清除，花键，棋盘式分照表，统计，溪，线矩阵，串处理技术，数据的表面情节， SVD( sigular 估价分解)， t 分配，价电子，矢量，数据， VU 米的形象化
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Size: 335872 |
Author: ddl |
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Description: Kohonen的SOM软件包，matlab里最好的som软件-Kohonen s SOM package, matlab best som software
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Size: 1543168 |
Author: lance |
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Description: 对复杂混合气体/气味的定性识别是电子鼻技术应用的重要方面。文章以对不同品牌的葡萄酒样本的定性
识别为例,尝试利用气体传感器温度动态响应信息并结合Kohonen算法,实现对复杂混合气体/气味的定性识别。
-Complex hybrid gas/odor of the qualitative identification of electronic nose is an important aspect of technology applications. Articles on different brands of wine samples, qualitative identification as an example, try to use the dynamic response of gas sensor temperature information in combination with Kohonen algorithm, the realization of complex hybrid gas/odor qualitative identification.
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Size: 31744 |
Author: zhaiyaojie |
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Description: Basic library that implements Kohonen s SOM and its learning. Lanuage: C# (.Net 3.5 Framework)
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Size: 35840 |
Author: Larrr |
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