Data preprocessing in ANNs

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Hassanean
Hassanean 2017-2-6
评论： Hassanean 2017-2-15
Hi, Please, could I get on helps to write a correct code' to scaling and normalizing the input data with interval [0.1-0.9] that are used as input data to neural network in matlab. regards
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Hassanean
Hassanean 2017-2-15
Dear Shashank thanks in advance for your respond. This scaling function can deal with vector matrix at one raw, in case of I have 6 raws in input matrix,please, how can solve that?

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Shashank
Shashank 2017-2-15
In general, you can get a new variable in the range [a,b] using:
x_new = (b-a)*((x-min_x)/(max_x-min_x))+a;
Here min_x and max_x represent the minimum and maximum values of the original data and x is the value you are trying to convert.
For example, Let's say I have an array i=[1 2 3 4] which I want to scale and normalize to an interval [0.1 0.9], i can do so by using the following code snippet
i=[1 2 3 4];
i_min=min(i);
i_max=max(i);
a=0.1; %for range [0.1 0.9]
b=0.9;
i_new = (b-a)*((i-i_min)./(i_max - i_min)) + a
i_new=
0.1000 0.3667 0.6333 0.9000

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