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Description: Kohonen模型结构：它是受视网膜皮层的生物功能的启发而提出的。-Kohonen model structure : it is subject to retinal cortex of the biological function inspired by.
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Size: 32298 |
Author: 何风 |
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Description: 一种非线性传递函数
- Kohonen学习规则
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Size: 980 |
Author: xxn |
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Description: 自组织系统Kohonen模型结构：它是受视网膜皮层的生物功能的启发而提出的,包含源程序和例子
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Size: 32391 |
Author: 杨兵 |
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Description: The source code of kohonen network.
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Size: 27877 |
Author: jantima |
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Description: 自组织系统Kohonen网络模型。对于Kohonen神经网络，竞争是这样进行的：对于“赢”的那个神经元c，在其周围Nc的区域内神经元在不同程度上得到兴奋，而在Nc以外的神经元都被抑制。网络的学习过程就是网络的连接权根据训练样本进行自适应、自组织的过程，经过一定次数的训练以后，网络能够把拓扑意义下相似的输入样本映射到相近的输出节点上。网络能够实现从输入到输出的非线性降维映射结构：它是受视网膜皮层的生物功能的启发而提出的。~..~-Kohonen network model. For Kohonen neural network, competition is this : For the "winner" of neurons c, in its switching around the region neurons in varying degrees, to be excited, and the switching outside the neurons were inhibited. Network learning is a process in the network connecting the right under the training samples for adaptive, self-organizing process, after a certain number of training, network topology can sense similar to the mapping of the input samples similar to the output nodes. Network can be achieved from input to output of nonlinear reduced-dimensional mapping structure : it is subject to retinal cortex of the biological function inspired by. ~ ~ ..
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Size: 34625 |
Author: 张洁 |
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Description: 国外游戏开发者杂志2003年第二期配套代码，包含了Jon Blow的交互工具的版本更新，使用了一个Kohonen Self-Organizing Feature Map来区分系统的行为--Code of game development magazine in 2003 second issue, it including Jon Blow`s version renewal of interactive tool ,it has used Kohonen Self-Organizing Feature Map to differentiate system the behavior
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Size: 466944 |
Author: 站长 |
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Description: 自组织系统Kohonen网络模型。对于Kohonen神经网络，竞争是这样进行的：对于“赢”的那个神经元c，在其周围Nc的区域内神经元在不同程度上得到兴奋，而在Nc以外的神经元都被抑制。网络的学习过程就是网络的连接权根据训练样本进行自适应、自组织的过程，经过一定次数的训练以后，网络能够把拓扑意义下相似的输入样本映射到相近的输出节点上。网络能够实现从输入到输出的非线性降维映射结构：它是受视网膜皮层的生物功能的启发而提出的。~..~-Kohonen network model. For Kohonen neural network, competition is this : For the "winner" of neurons c, in its switching around the region neurons in varying degrees, to be excited, and the switching outside the neurons were inhibited. Network learning is a process in the network connecting the right under the training samples for adaptive, self-organizing process, after a certain number of training, network topology can sense similar to the mapping of the input samples similar to the output nodes. Network can be achieved from input to output of nonlinear reduced-dimensional mapping structure : it is subject to retinal cortex of the biological function inspired by. ~ ~ ..
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Size: 34816 |
Author: 张洁 |
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Description: Kohonen模型结构：它是受视网膜皮层的生物功能的启发而提出的。-Kohonen model structure : it is subject to retinal cortex of the biological function inspired by.
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Size: 31744 |
Author: 何风 |
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Description: 一种非线性传递函数
- Kohonen学习规则
-A nonlinear transfer function- Kohonen learning rule
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Size: 1024 |
Author: xxn |
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Description: 自组织系统Kohonen模型结构：它是受视网膜皮层的生物功能的启发而提出的,包含源程序和例子-Kohonen self-organizing system model structure: it is subject to the biological functions of retinal cortex inspired by, including source code and examples
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Size: 31744 |
Author: 杨兵 |
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Description: The source code of kohonen network.
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Size: 27648 |
Author: jantima |
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Description: 目录包含了代码执行Kohonen网络。源代码
中可以找到KNET.CPP 。样本数据isfound在KNETSAMP.PAT 。程序输出
可在接受KNETSAMP.OUT-Directory contains the code to implement Kohonen network. Source code can be found KNET.CPP. Isfound sample data in KNETSAMP.PAT. Output can be in KNETSAMP.OUT
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Size: 31744 |
Author: 刘柳 |
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Description: Kohonen network nural, framework for java developer
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Size: 59392 |
Author: elrejuntemail |
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Description: Kohonen neural Network
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Size: 69632 |
Author: Ann |
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Description: 著名的KOHONEN算法实现，对研究机器学习有帮助。-KOHONEN,a useful classification method.
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Size: 31744 |
Author: 微微蓝 |
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Description: kohonen som
with drwing it map
and a nice gui
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Size: 9216 |
Author: marcus |
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Description: Kohonen神经网络算法工作机理为：网络学习过程中，当样本输入网络时，竞争层上的神经元计算输入样本与竞争层神经元权值之间的欧几里德距离，距离最小的神经元为获胜神经元。调整获胜神经元和相邻神经元权值，使获得神经元及周边权值靠近该输入样本。通过反复训练，最终各神经元的连接权值具有一定的分布，该分布把数据之间的相似性组织到代表各类的神经元上，使同类神经元具有相近的权系数，不同类的神经元权系数差别明显。需要注意的是，在学习的过程中，权值修改学习速率和神经元领域均在不断较少，从而使同类神经元逐渐集中。-Kohonen neural network algorithm for the working mechanism: the network learning process, when the samples enter the network, the competitive layer of neurons on the calculation of input samples and competitive layer neurons Euclidean distance between the weights from the smallest neurons Winning neuron. Adjust the winning neuron and neighboring neurons weights to gain weight and peripheral neurons close to the input samples. Through repeated training, and ultimately the connection weights of neurons with a certain distribution, the distribution of the similarity between the data to representatives of organizations of various types of neurons, so that similar neurons have similar weights, different types of nerve Element obviously different weights. Note that, in the learning process, the right to modify the value of the field of learning rate and neurons were constantly low, so that the same neurons gradually concentrated.
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Size: 87040 |
Author: 李芳 |
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Description: 这是有关神经网络算法中的kohonen算法的代码实现和有关介绍文章。共大家参考。是本人自己做的程序。虽然是比较旧的算法。但对新学神经网络的朋友会有所帮助。-This is the neural network algorithm kohonen algorithm code and the introduction article. Of reference. Is my own program. Although the older algorithm. But the new study neural network of friends will help.
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Size: 2392064 |
Author: ANMINGSHOU |
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Description: 该代码为基于Kohonen网络的分类算法，注意归一化处理以及网络的构建-The code for the classification algorithm based on Kohonen networks, pay attention to the normalization processing and network building
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Size: 2048 |
Author: 南方 |
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Description: 该代码是基于Kohonen网络的分类算法-The code is a classification algorithm based on Kohonen networks
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Size: 266240 |
Author: 徐新玲 |
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