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这个模型是多层感知网模型，是神经网络的一种，可以用来对一组数据训练分类-This model is a model of multi-Zhi Wang a sense, is a kind of neural networks that can be used to train a group of data classification
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for MLP neural network.
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classification using MLP with GUi
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wavelet network (wavelet function as activation function of the nodes of the hiden layer of the neural network , MLP) can be used for classification
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由发展蓝图和RBF监督神经网络的图像分类 希望大家喜欢-Supervised image classification by MLP and RBF neural networks
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A MLP code with backpropagation training algorithm designed for classification problems.
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这是利用神经网络进行二分类的程序，训练过程采用bp.工程中包含训练文件和测试文件。-This is for two neural network classification procedure, the training process using bp. Project includes training documents
And test files.
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结合matlab一起使用，可以用于样本分类，包括mlp,svm等-Combined with matlab use, can be used for sample classification, including mlp svm etc.
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A Multilayer perceptron for text classification, befor running this code you should provide a feature matrix that indicate sentences
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MLP数据挖掘里面的分类算法 -MLP data mining classification algorithm inside the MLP data mining classification algorithm inside
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this program helps you simulate the classification task whit MLP (multilayer preceptron) neural network
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清华模式识别第二次作业，采用dataset2.txt 数据作训练样本，采用身高与体重特征进行性别分类，建立最小错误贝叶斯分类器；2、采用身高体重数据作为特征，以 dataset2.txt 作为训练数据，用 Fisher 线性判别方法设计分类器；3、从多层感知器、SVM、近邻法选择一种方法，进行上述的分类实验；-Tsinghua second operation pattern recognition using dataset2.txt data for training samples, us
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图像分类程序，此图像分类采用 SIFT + Kmeans 聚类的方法，然后调用 MLP 对其特征进行分类处理，速度实现比较快，正确率高-Image classification procedures, the use of this image classification method SIFT+ Kmeans clustering, and then call the MLP classification of its features, faster speed to achieve th
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mlp classification and regression
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实现基于MLP的分类器，采用MLP将两类数据进行分类，从而实现一个perceptron.里面有实验说明。-MLP-based classification, the use of two types of data MLP will be classified in order to achieve a perceptron. There are experiments described.
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在holcon中使用多层次感知器对图像进行分类-completeness check of colored game pieces using MLP classification
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基于keras的python的深度学习多层感知机MLP，对数据库minis进行的分类。希望大家喜欢-Based keras deep learning of the python MLP MLP, classification minis conducted. I hope you like
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生物地理算法优化多层感知网络进行特征分类和识别，精度高达97 -Bio geographic algorithm to optimize multi layer perceptron network for feature classification and recognition, the accuracy of up to 97
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用mlp实现分类，例子中用了一个隐层，可以改变隐层个数，用多个隐层(With mlp to achieve classification, the example used a hidden layer, you can change the number of hidden layers, with multiple hidden layer)
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SOM neural network, can feature extraction and classification, in particular characteristic dimensio
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