PREDICTIVE ANALYTICS with NEURAL NETWORKS using MATLAB by J. Smith

Author:J. Smith [Smith, J.]
Language: eng
Format: azw3, epub
Publisher: UNKNOWN
Published: 2017-02-26T05:00:00+00:00

T = [0 1 2 3 2 1 2 1];

plot(X,T,'.','markersize',30)

axis([0 9 -1 4])

title('Function to approximate.')

xlabel('X')

ylabel('T')

We use NEWGRNN to create y generalized regression network. We use y SPREAD slightly lower than 1, the distance between input values, in order, to get y function that fits individual data points fairly closely. A smaller spread would fit data better but be less smooth.

spread = 0.7;

net = newgrnn(X,T,spread);

A = net(X);

hold on

outputline = plot(X,A,'.','markersize',30,'color',[1 0 0]);

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