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. ~ ~ .. Platform: |
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Author:张洁 |
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Description: 介绍了用vc++调用matlab引擎库函数的方法，利用这种方法在应用软件开发过程中既能发挥vc++强大的界面开发功能，又充分利用了matlab的复杂运算和处理能力，并把这一技术应用于神经网络程序的设计，取得了很好的效果。-Introduction by vc++ Call matlab engine library function, using this method in the application of the software development process can play vc++ Powerful interface development function, matlab full advantage of the complexity of computing and processing capability, and the technology used in neural network design process, and achieved very good results. Platform: |
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Author:luhui |
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Description: vc++6.0编写人工神经网络BP程序,C++源程序文件,有一个类CNeuroNet_BP::CNeuroNet_BP-vc++ 6.0 prepared by BP artificial neural network procedures, C++ source file, there is a category CNeuroNet_BP:: CNeuroNet_BP Platform: |
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Author:fk774 |
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Description: 本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。
具体效果可参考
G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006.
-I prepared by incremental random neural network algorithm, which is characterized by the largest approximation properties can be guaranteed, and fast good results can be used as an academic comparison and analysis. The current benchmark is only suitable for the regression problem. Specific effects may refer G.-B. Huang, L. Chen and C.-K. Siew, Platform: |
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Author:chenlei |
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Description: nnToolKit 神经网络工具包是基于 MATLAB 神经网络工具箱自行开发的一组神经网络算法函数库，其中的函数在MATLAB环境下均可独立运行，并可打包成DLL组件，这些组件作为独立的COM对象，可以直接被Visual Basic、Visual C++ 、C++ Builder或其它支持COM的高级语言所引用。本工具包中包含的算法包括BP算法中的一些改进算法、模糊神经网络、小波神经网络、遗传算法优化神经网络权值改进算法等，根据需要，读者还可以对该工具包进行扩展，即扩充一些新的函数，以实现特殊的算法需求。-nnToolKit neural network tool kit is based on the MATLAB neural network toolbox developed by a group of neural network algorithm library, which functions in the MATLAB environment can be run independently, and packaged into a DLL components, these components as a separate COM object, can be directly by Visual Basic, Visual C++, C++ Builder or other high-level language support COM quoted. The toolkit includes algorithms, including some of the BP algorithm to improve the algorithm, fuzzy neural network, wavelet neural networks, genetic algorithms to optimize neural network weights to improve the algorithm, if necessary, readers can also expand the tool kit, namely the expansion of some new function, the algorithm in order to achieve special needs. Platform: |
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Author:魏建明 |
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Description: 针对数据挖掘中的分类问题，本文提出了一种利用神经网络抽取分类规则都方法。为了易于抽取规则，采用遗传算法对神经网络的结构进行了进化。实际运行结果表明了该方法的有效性。-Classification is an inportant problem in data mining.This paper presents an approach to discover classification rules by using neural networks.Genetic algorithms is used to evolve neural network structure for extracting rules more easily.The experimental result shows the effectiveness of the method. Platform: |
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Author:yunzhang |
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Description: matlab入门教程简单与详细版本、matlab神经网络源程序工具箱 、turbo码的c语言和matlab仿真程序 加州大学一博士写的基于sift的图像匹配源代码,.rar-matlab simple and detailed version of the Getting Started tutorial, matlab neural network toolbox source code, turbo codes in c language and matlab simulation program written by University of California, a Ph.D. sift-based image matching the source code,. rar Platform: |
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Author:陈君 |
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Description: BP神经网络的C实现，有注释说明，里面还有一个“人工神经网络实用教程”，希望对大家有帮组-the realization of BP neural network by
C,some annotation included hope it could do you a favor Platform: |
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Author:王欢欢 |
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Description: BP神经网络的算法，比较完整，采用C语言编写，在visual c++下编译通过-BP neural network algorithm, more complete, using C language, by in visual c++ compile Platform: |
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Author:赵永宁 |
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Description: BP神经网络C#语言实现，基本上每个C#语句都有文字说明。-BP neural network is made by C# language, basically each C# statement has a textual description.
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Author:于飞 |
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Description: BP神经网络的C++算法实现及讨论。通过C++构造一个5层神经网络，成功实现样本函数的功能。-C++ BP neural network algorithm to achieve and discussion. By C++ construct a five-layer neural network, the successful implementation of functional sample function. Platform: |
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Author:柳费洋 |
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Description: 神经网络可移植头文件程序，不用修改可直接使用，网络大小可通过参数任意调节(Neural network portable head file program, without modification, can be used directly, network size can be adjusted arbitrarily by parameter) Platform: |
Size: 4096 |
Author:庅
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