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随机森林分类器 可以实现分类 适合初学者学习参考-Neural network classifiers can be used to classify information for beginners to learn
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利用神经网络竞争层给数据分类，程序后面有详细注释-The program classify data in neural network about Competitive layer, and detailed notes behind the program
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使用神经网络的K算法来对数据进行分类，有具体的实验要求和图-K using the neural network algorithm to classify the data, there is a specific test requirements and plans
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神经网络经典算法，包括学习速度、训练目标、训练代数、-Classical neural network algorithm
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模糊聚类虽然能够对数据聚类挖掘，但是由于网络入侵特征数据维数较多，不同入侵类别间的数据差别较小，不少入侵模式不能被准确分类。本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类。
-Although fuzzy clustering to cluster the data mining, but the characteristics of the network intrusion data more dimensions, different invasion was l
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利用模式识别的方法对数据进行分类，注意是利用BP神经网络进行分类的源代码及资料-Using pattern recognition method for data classification, pay attention to is the use of BP neural network to classify the source code and data
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使用BP神经网络来识别彩色图像的类. 自己取采样样本-apply the backpropagation neural network to classify a color image you choose. You need to determine the number of classes and select the
training samples by yourself.
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人工神经网络 模式识别 对信号进行分类识别 0 1 识别-Artificial neural network pattern recognition to classify the signal recognition 01
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根据所学BP神经网络进行数据分类，先训练已知数据，然后根据已知数据训练的模式对未分类数据进行分类-According to BP neural network learned the data classification, the first known training data, then the basis of known data pattern of training data to classify unclassified
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是BP神经网络的程序，可以用来将训练样本进行分类。-it is the procedure of BP neural network and it can classify the train samples
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基于神经网络最小均方误差的分类算法，根据LMS准则来对数据进行分类-Based on minimum mean square error of neural network classification algorithm based on LMS criteria to classify the data
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径向基神经网络对输入信号进行分类识别，准确度高。-RBF neural network to classify the input signal recognition accuracy.
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基于模糊神经网络的多传感器信息融合，提出了一种简单、有效的分区算法来确定障碍物的距离和方位。采用BP神经网络对障碍物环境进行分类以及模式识别，为移动机器人的导航和避障提供了一种有效的方法。-Fuzzy neural network based multi-sensor information fusion, we propose a simple and effective algorithm to determine the partition barrier distance and dir
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I used the newpnn function to create a PNN, then used the sim
function to classify the the training data set, which was used to
create the neural network.
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new technology to classify the wave file using neural network
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简单的实用的便捷的神经网络程序，有效的提高数据处理效率，有助于初学者的使用。-A simple and practical and convenient neural network program, effectively improve the efficiency of data processing
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Cell classifier built on the base of Artificial Neural Network, that is taught by back propagation method.
It is capable to classify pictures containing one extracted cell to the one of two specified classes - mitotic or not mitotic.
Classifica
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运用bp神经网络对数据语音进行分类，仿真结果良好-The use of bp neural network to classify the data voice, good simulation results
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该程序为MATLAB源码，使用PNN算法进行分类。-Classify using a probabilistic neural network
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MATLAB神经网络30例书课后附的案例源程序 BP神经网络的数据分类-语音特征信号分类-MATLAB neural network 30 cases of after-school book case attached source BP neural network data classification- the speech characteristic signal classification
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