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?
Data preprocessing in ANNs
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Hassanean
el 6 de Feb. de 2017
Comentada: Hassanean
el 15 de Feb. de 2017
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
Respuesta aceptada
Shashank
el 15 de Feb. de 2017
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
0 comentarios
Más respuestas (0)
Ver también
Categorías
Más información sobre Sequence and Numeric Feature Data Workflows en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!