How to incorperate graph as nerual network input?

Question

Jesmond 2012-10-10

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/50386-how-to-incorperate-graph-as-nerual-network-input

Hi, I'm new to using neural network in Matlab. At the moment I wish to use the graph results collected from my experiment as inputs to the network for pattern recognition. Question is can the neural network read the graph data as inputs? and how should I put it in the network. Thanks

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Greg Heath 2012-10-12

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/50386-how-to-incorperate-graph-as-nerual-network-input#answer_61836

The net reads matrix input only. For a MLP with I-H-O node topology the input and target formats are

[ I N ] = size(input)

[ O N ] = size(target)

Hope this helps.

Thank you for formally accepting my answer.

Greg

3 个评论
显示 1更早的评论隐藏 1更早的评论

aurora 2012-10-21

I have the same question , and I want to know what's (I) and what's (N)in the size of input and taregt ? Do the columns N express the no. of classes or the different inputs of the same class or the length of input elements ?

A numerical example will clear the problem .. if I have 10 different classes , each class has 10 shapes to train the network on them , a feature vector of each shape is extracted and the all ten feature vectors of the same class must be trained and produce the same target, the same process is done for all the classes. How to format the input as a suitable matlab neural network toolbox input?

Greg Heath 2012-10-24

Input vectors and target vectors occur in pairs but have different dimensions. When all of the data is collected into separate input and target matrices, the dimensions of the matrices are as I have given previously. Each I-dimensional input vector has an O-dimensional output vector as a training target.

For classifiers O = c, the number of classes, and each target vector is a column of the c-dimensional unit matrix eye(c). The index of the row containing the one is the class index of the corresponding input vector.

Jesmond: It is not enough to give dimensions of a data matrix. You have to give dimensions of paired input and output vectors.

请先登录，再进行评论。