文件名称:SOMF-lib-and-implementation
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Java] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 700kb
- 下载次数：
- 0次
- 提 供 者：
- m***
- 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
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.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
SOFM_DM
.......\.classpath
.......\.project
.......\bin
.......\...\activationFunction
.......\...\..................\ActivationFunctionModel.class
.......\...\..................\HardLimitActivationFunction.class
.......\...\..................\LinearActivationFunction.class
.......\...\..................\SymetricHardLimitActivationFunction.class
.......\...\..................\TransparentActivationFunction.class
.......\...\kohonen
.......\...\.......\LearningData.class
.......\...\.......\LearningDataModel.class
.......\...\.......\WTALearningFunction.class
.......\...\.......\WTMLearningFunction.class
.......\...\learningFactorFunctional
.......\...\........................\ConstantFunctionalFactor.class
.......\...\........................\ExponentionalFunctionFactor.class
.......\...\........................\GaussFunctionalFactor.class
.......\...\........................\LearningFactorFunctionalModel.class
.......\...\........................\LinearFunctionalFactor.class
.......\...\main
.......\...\....\SOFM_MainFrame$1.class
.......\...\....\SOFM_MainFrame$2.class
.......\...\....\SOFM_MainFrame$3.class
.......\...\....\SOFM_MainFrame$4.class
.......\...\....\SOFM_MainFrame$5.class
.......\...\....\SOFM_MainFrame$6.class
.......\...\....\SOFM_MainFrame$7.class
.......\...\....\SOFM_MainFrame.class
.......\...\metrics
.......\...\.......\CityBlockMetric.class
.......\...\.......\EuclidesMetric.class
.......\...\.......\MetricModel.class
.......\...\.......\MinkowskiMetric.class
.......\...\network
.......\...\.......\DefaultNetwork.class
.......\...\.......\KohonenNeuron.class
.......\...\.......\NetworkModel.class
.......\...\.......\NeuronModel.class
.......\...\topology
.......\...\........\Coords.class
.......\...\........\GaussNeighbourhoodFunction.class
.......\...\........\HexagonalTopology.class
.......\...\........\MatrixTopology.class
.......\...\........\NeighbourhoodFunctionModel.class
.......\...\........\TopologyModel.class
.......\data
.......\....\glass.arff
.......\....\temp
.......\....\....\glass1.arff
.......\....\....\glass[modified].arff
.......\src
.......\...\activationFunction
.......\...\..................\ActivationFunctionModel.java
.......\...\..................\HardLimitActivationFunction.java
.......\...\..................\LinearActivationFunction.java
.......\...\..................\SymetricHardLimitActivationFunction.java
.......\...\..................\TransparentActivationFunction.java
.......\...\kohonen
.......\...\.......\LearningData.java
.......\...\.......\LearningDataModel.java
.......\...\.......\WTALearningFunction.java
.......\...\.......\WTMLearningFunction.java
.......\...\learningFactorFunctional
.......\...\........................\ConstantFunctionalFactor.java
.......\...\........................\ExponentionalFunctionFactor.java
.......\...\........................\GaussFunctionalFactor.java
.......\...\........................\LearningFactorFunctionalModel.java
.......\...\........................\LinearFunctionalFactor.java
.......\...\main
.......\...\....\SOFM_MainFrame.java
.......\...\metrics
.......\...\.......\CityBlockMetric.java
.......\...\.......\EuclidesMetric.java
.......\...\.......\MetricModel.java
.......\...\.......\MinkowskiMetric.java
.......\...\network
.......\...\.......\DefaultNetwork.java
.......\...\.......\KohonenNeuron.java
.......\...\.......\NetworkModel.java
.......\...\.......\NeuronModel.java
.......\...\topology
.......\...\........\Coords.java
.......\...\........\GaussNeighbourhoodFunction.java
.......\...\........\HexagonalTopology.java
.......\...\........\MatrixTopology.java
.......\...\........\NeighbourhoodFunctionModel.java
.......\...\........\TopologyModel.java
[内含实现说明]SOFM神经网络的聚类算法分析及实现.docx
库文件及说明.zip
.......\.classpath
.......\.project
.......\bin
.......\...\activationFunction
.......\...\..................\ActivationFunctionModel.class
.......\...\..................\HardLimitActivationFunction.class
.......\...\..................\LinearActivationFunction.class
.......\...\..................\SymetricHardLimitActivationFunction.class
.......\...\..................\TransparentActivationFunction.class
.......\...\kohonen
.......\...\.......\LearningData.class
.......\...\.......\LearningDataModel.class
.......\...\.......\WTALearningFunction.class
.......\...\.......\WTMLearningFunction.class
.......\...\learningFactorFunctional
.......\...\........................\ConstantFunctionalFactor.class
.......\...\........................\ExponentionalFunctionFactor.class
.......\...\........................\GaussFunctionalFactor.class
.......\...\........................\LearningFactorFunctionalModel.class
.......\...\........................\LinearFunctionalFactor.class
.......\...\main
.......\...\....\SOFM_MainFrame$1.class
.......\...\....\SOFM_MainFrame$2.class
.......\...\....\SOFM_MainFrame$3.class
.......\...\....\SOFM_MainFrame$4.class
.......\...\....\SOFM_MainFrame$5.class
.......\...\....\SOFM_MainFrame$6.class
.......\...\....\SOFM_MainFrame$7.class
.......\...\....\SOFM_MainFrame.class
.......\...\metrics
.......\...\.......\CityBlockMetric.class
.......\...\.......\EuclidesMetric.class
.......\...\.......\MetricModel.class
.......\...\.......\MinkowskiMetric.class
.......\...\network
.......\...\.......\DefaultNetwork.class
.......\...\.......\KohonenNeuron.class
.......\...\.......\NetworkModel.class
.......\...\.......\NeuronModel.class
.......\...\topology
.......\...\........\Coords.class
.......\...\........\GaussNeighbourhoodFunction.class
.......\...\........\HexagonalTopology.class
.......\...\........\MatrixTopology.class
.......\...\........\NeighbourhoodFunctionModel.class
.......\...\........\TopologyModel.class
.......\data
.......\....\glass.arff
.......\....\temp
.......\....\....\glass1.arff
.......\....\....\glass[modified].arff
.......\src
.......\...\activationFunction
.......\...\..................\ActivationFunctionModel.java
.......\...\..................\HardLimitActivationFunction.java
.......\...\..................\LinearActivationFunction.java
.......\...\..................\SymetricHardLimitActivationFunction.java
.......\...\..................\TransparentActivationFunction.java
.......\...\kohonen
.......\...\.......\LearningData.java
.......\...\.......\LearningDataModel.java
.......\...\.......\WTALearningFunction.java
.......\...\.......\WTMLearningFunction.java
.......\...\learningFactorFunctional
.......\...\........................\ConstantFunctionalFactor.java
.......\...\........................\ExponentionalFunctionFactor.java
.......\...\........................\GaussFunctionalFactor.java
.......\...\........................\LearningFactorFunctionalModel.java
.......\...\........................\LinearFunctionalFactor.java
.......\...\main
.......\...\....\SOFM_MainFrame.java
.......\...\metrics
.......\...\.......\CityBlockMetric.java
.......\...\.......\EuclidesMetric.java
.......\...\.......\MetricModel.java
.......\...\.......\MinkowskiMetric.java
.......\...\network
.......\...\.......\DefaultNetwork.java
.......\...\.......\KohonenNeuron.java
.......\...\.......\NetworkModel.java
.......\...\.......\NeuronModel.java
.......\...\topology
.......\...\........\Coords.java
.......\...\........\GaussNeighbourhoodFunction.java
.......\...\........\HexagonalTopology.java
.......\...\........\MatrixTopology.java
.......\...\........\NeighbourhoodFunctionModel.java
.......\...\........\TopologyModel.java
[内含实现说明]SOFM神经网络的聚类算法分析及实现.docx
库文件及说明.zip