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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
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Key Features
* Neural network design, training, and simulation
* Pattern recognition, clustering, and data-fitting tools
* Supervised networks including feedforward, radial basis, LVQ, time delay, nonlinear autoregressive (NARX), and laye
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基于自组织特征映射的矢量量化方法,用自组织映射神经元,图像识别音频识别-Self-organizing feature maps based on vector quantization method, neurons with self-organizing map, image recognition audio recognition
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VC++实现的自组织映射SOM方法图像分类聚类算法源代码-Free Source Code for Kohonen s Self Organizing Maps in C++ with Application in Computer Vision Area
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神经网络SOM网络模型 运用自组织模型给数据分类-Use self-organizing maps (SOM) to reduce the data into clusters
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集群(CR)的加固阶段进展集群分离自组织映射(SOM)的。-The Cluster Reinforcement (CR) phase advances cluster separation in Self Organizing Maps(SOM).
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Image Color Reduction using SOFM network
Reduction of colors of digital images using self organizing feature maps (SOFM) neural network in MATLAB
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In order to reveal new structures in stock market behavior of the companies
drawing up Dow Jones index we apply self-organizing maps (SOM) and group method of data
handling (GMDH) algorithms. Using SOM techniques we obtain SOM-maps that establish
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Self-Organizing Feature Maps (Kohonen maps) 示例程序1-Self-Organizing Feature Maps (Kohonen maps)- CodeProject® .pdf
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Self-Organizing Feature Maps CodeProject® 的自组织特征图算法完整版实现,神经网络的一个分支 C#编写-code for Self-Organizing Feature Maps (Kohonen maps)-from CodeProject
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自组织映射神经网络java源代码 myeclipse工程文件可直接导入使用-self-organizing maps nerual network java source code
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Sample code for learning Competitive Learning and Self Organizing Maps using Matlab.
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Vector quantization of images based upon the Kohonen self-organizing feature maps
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SOM神经网络,采用自组织映射神经网络,myeclipse可导入工程直接使用(Self-organizing maps nerual network java source code.)
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