Description: 本程序用C语言实现了集成神经网络解决广义异或问题。用神经网络集成方法做成表决网,可克服初始权值的影响,对神经网络分类器来说:假设有N个独立的子网,采用绝对多数投票法,再假设每个子网以1-p的概率给出正确结果,且网络之间的错误不相关,则表决系统发生错误的概率为
Perr = ( ) pk(1-p)N-k 当p<1/2时 Perr 随N增大而单调递减.
在工程化设计中,先设计并训练数目较多的子网,然后从中选取少量最佳子网形成表决系统,可以达到任意高的泛化能力。
-this program with C language integrated generalized neural network solutions vary or issues. Using neural network integration methods create networks division, will be able to overcome the initial weights of the neural network classifiers example : Suppose N separate subnets, using an absolute majority vote, Suppose each subnet to 1-p is the probability of correct results, and network between the error is not relevant, The voting system is wrong with a probability of Perr = () pk (1-p) N-k p Platform: |
Size: 13315 |
Author:刘波 |
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Description: 基于神经网络最佳分类器通信信号的调制识别, 好文章强烈贡献-based on neural network classifiers best communication signals in the modulation recognition, a strong contribution to the excellent article Platform: |
Size: 78474 |
Author:陈地主 |
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Description: BP神经网络分类器
程序有两种运行状态，一个是学习，另外一个是分类。在学习状态下，在Dos命令符下输入bp learn，便开始学习了，学习的结果放在weight.dat中；在工作状态下，在Dos命令符下输入bp work，便开始识别classfyme.dat中的数据了，识别完成后，结果放在results.dat中。在bp运行的任何一种状态下，都不能手工打开Weight.dat、Sample.dat、classfyme.dat、results.dat中的任何一种。~..~-BP neural network classifiers have the two operations, a study, the other one is classified. In learning mode, in order website Dos importing bp learn, they start learning, the results of the study on weight.dat; in working condition, Dos website in order to import bp work, classfyme.dat began to identify the data, the identification is completed, The results were on results.dat. Bp in the operation of any state, it can not open Weight.dat hand, Sample.dat, classfyme.dat. results.dat of any kind. ~ ~ .. Platform: |
Size: 80529 |
Author:wh |
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Description: 本程序用C语言实现了集成神经网络解决广义异或问题。用神经网络集成方法做成表决网,可克服初始权值的影响,对神经网络分类器来说:假设有N个独立的子网,采用绝对多数投票法,再假设每个子网以1-p的概率给出正确结果,且网络之间的错误不相关,则表决系统发生错误的概率为
Perr = ( ) pk(1-p)N-k 当p<1/2时 Perr 随N增大而单调递减.
在工程化设计中,先设计并训练数目较多的子网,然后从中选取少量最佳子网形成表决系统,可以达到任意高的泛化能力。
-this program with C language integrated generalized neural network solutions vary or issues. Using neural network integration methods create networks division, will be able to overcome the initial weights of the neural network classifiers example : Suppose N separate subnets, using an absolute majority vote, Suppose each subnet to 1-p is the probability of correct results, and network between the error is not relevant, The voting system is wrong with a probability of Perr = () pk (1-p) N-k p Platform: |
Size: 50176 |
Author:刘波 |
Hits:
Description: 基于神经网络最佳分类器通信信号的调制识别, 好文章强烈贡献-based on neural network classifiers best communication signals in the modulation recognition, a strong contribution to the excellent article Platform: |
Size: 77824 |
Author:陈地主 |
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Description: Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multimedia
analysis with great success. This work presents a combined approach
to semantic adaptation of neural network classifiers in multimedia framework.
It is based on a fuzzy reasoning engine which is able to evaluate
the outputs and the confidence levels of the neural network classifier, using
a knowledge base. Improved image segmentation results are obtained,
which are used for adaptation of the network classifier, further increasing
its ability to provide accurate classification of the specific content. Platform: |
Size: 831488 |
Author:焦亚民 |
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Description: This a case for recognition of hand gestures using the 7 Hu moments and neural network classifiers-This is a case for recognition of hand gestures using the 7 Hu moments and neural network classifiers Platform: |
Size: 3072 |
Author:edwin |
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Description: 图像模式识别的各种算法及其编程实现,包括模板匹配分类器、几何分类器和神经网络分类器等，可用于手写数字的识别。-A variety of image pattern recognition algorithm and its programming, including template matching classifier, geometric classifier and neural network classifiers, etc., can be used for handwritten numeral recognition. Platform: |
Size: 528384 |
Author:MORGAN |
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Description: Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifiers, run mexme_NN to recompile mex files on your own plateform, run test_NN.m to run demo.
Platform: |
Size: 250880 |
Author: |
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Description: The program consists of a C ++.The phonemes using neural network classifiers.File can be used easily have the function is defined. Platform: |
Size: 17408 |
Author:kimmwoojun |
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Description: The following Matlab project contains the source code and Matlab examples used for neural network classifiers. Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifiers Please run mexme_NN to recompile mex files on your own plateform (Be sure that you setup your matlab by matlab -setup at least one) Please run test_NN.
The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.-The following Matlab project contains the source code and Matlab examples used for neural network classifiers. Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifiers Please run mexme_NN to recompile mex files on your own plateform (Be sure that you setup your matlab by matlab -setup at least one) Please run test_NN.
The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there. Platform: |
Size: 251904 |
Author:sina |
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Search - neural network classifiers