# Signature recogniation rbf(radial basis function) neural network at matlab

1. ## Signature recogniation rbf(radial basis function) neural network at matlab

I have got two questions
hi i have been working about signature recocniation system in matlab.I decide to classify with rbfnn(radial basis function neural network) .I can do %60 in accuracy.The system must to work higher accuracy.Number of educational data is 728.(28*26).There are 28 persons signature.Each person has got 26 signatures.Number of test signature is 280.(28*10).There are 28 persons in signature recogniation system.Each person has got 10 signatures.

1-Which spread value i can chose?
Code:
```eg = 0.001; % sum-squared error goal
sc = 11;    % spread constant```
newrb(X,T,GOAL,SPREAD,MN,DF) takes these arguments,
X - RxQ matrix of Q input vectors.
T - SxQ matrix of Q target class vectors.
GOAL - Mean squared error goal, default = 0.0.
SPREAD - Spread of radial basis functions, default = 1.0.
MN - Maximum number of neurons, default is Q.
DF - Number of neurons to add between displays, default = 25.
and returns a new radial basis network.

The larger that SPREAD is the smoother the function approximation
will be. Too large a spread means a lot of neurons will be
required to fit a fast changing function. Too small a spread
means many neurons will be required to fit a smooth function,
and the network may not generalize well. Call newrb with
different spreads to find the best value for a given problem.
Here we design a radial basis network given inputs X and targets T.
Code:
```
X = [1 2 3];
T = [2.0 4.1 5.9];
net = newrb(X,T);
Y = net(X)```
my code is
Code:
```eg = 0.001; % sum-squared error goal
sc = 11;    % spread constant
net = newrb(input,target,eg,sc);```
There is'nt any parameters set nember of epochs
How can i set number of epochs? 