文件名称:AI_NeuralNetworks
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程序是输入n个m维向量x1,x2...并且给定y1,y2...拟合f(xi)=yi，并且对未给定的x ，求f（x )
-Process is n-input m-dimensional vector x1, x2 ... and given y1, y2 ... fitting f (xi) = yi, and not a given x, for f (x)
-Process is n-input m-dimensional vector x1, x2 ... and given y1, y2 ... fitting f (xi) = yi, and not a given x, for f (x)
相关搜索： AI_NeuralNetworks
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下载文件列表
AI_NeuralNetworks
.................\AI_NeuralNetworks
.................\.................\.classpath
.................\.................\.project
.................\.................\aihomework
.................\.................\..........\AI.class
.................\.................\..........\AI.java
.................\.................\AI_HW_MOD
.................\.................\AI_NeuralNetworks
.................\.................\neuralnetworks
.................\.................\..............\MultiClassNeuralNetwork.class
.................\.................\..............\MultiClassNeuralNetwork.java
.................\.................\..............\NeuralNetwork.class
.................\.................\..............\NeuralNetwork.java
.................\.................\parameter
.................\.................\.........\CrossValidation.class
.................\.................\.........\CrossValidation.java
.................\.................\.........\FindBest.class
.................\.................\.........\FindBest.java
.................\.................\.........\Measure.class
.................\.................\.........\Measure.java
.................\.................\perceptron
.................\.................\..........\Perceptron.class
.................\.................\..........\Perceptron.java
.................\.................\..........\SigmodPerceptron.class
.................\.................\..........\SigmodPerceptron.java
.................\.................\TrainingData.txt
.................\AI_NeuralNetworks
.................\.................\.classpath
.................\.................\.project
.................\.................\aihomework
.................\.................\..........\AI.class
.................\.................\..........\AI.java
.................\.................\AI_HW_MOD
.................\.................\AI_NeuralNetworks
.................\.................\neuralnetworks
.................\.................\..............\MultiClassNeuralNetwork.class
.................\.................\..............\MultiClassNeuralNetwork.java
.................\.................\..............\NeuralNetwork.class
.................\.................\..............\NeuralNetwork.java
.................\.................\parameter
.................\.................\.........\CrossValidation.class
.................\.................\.........\CrossValidation.java
.................\.................\.........\FindBest.class
.................\.................\.........\FindBest.java
.................\.................\.........\Measure.class
.................\.................\.........\Measure.java
.................\.................\perceptron
.................\.................\..........\Perceptron.class
.................\.................\..........\Perceptron.java
.................\.................\..........\SigmodPerceptron.class
.................\.................\..........\SigmodPerceptron.java
.................\.................\TrainingData.txt