Neural Networks warning?

Hi,

When I train any neural network i get the warning below. It still trains usable networks but I'd like to know what the warning means.

% Warning: 'trainRation' is not a legal parameter. 
% > In nntest.param>do_test (line 63)
%   In nntest.param (line 6)
%   In network/subsasgn>setDivideParam (line 1838)
%   In network/subsasgn>network_subsasgn (line 460)
%   In network/subsasgn (line 14)
%   In NN_Training (line 78) 

I'm using the function below to train the networks but I don't know why trainRation is causing the warning.

net = fitnet(current_neuron_count, TRAIN_FCN);
net.divideParam.trainRation = 70/100;
net.divideParam.valRation = 15/100;
net.divideParam.testRation = 15/100;

Thanks

Answer 1

[Walter Roberson]

trainRatio, valRatio, testRatio

no final 'n'. Not trainRation, trainRatio

[Mohamed Abdelsamie]

Thanks Walter!

Would that cause problems in how the data is divided?

[Walter Roberson]

The versions with 'Ration' would have had those commands ignored, leaving you with the default ratios.

[Mohamed Abdelsamie]

Thanks a lot Walter!

Answer 2

[alsharif taha]

when i train this network i get errors

please help me

clc

clear

close all

p=[1:10 10:10:100];

t= (p.^2);

net=newff(p,t,[3], {'logsig' 'purelin'});

net.divideParam.trainRatio=1;

net.divideParam.testRatio=0;

net.divideParam.valRatio=0;

net.divideParam.lr=0.01;

net.divideParam.min_grad=1e-20;

net.divideParam.goal=1e-30;

net.divideParam.epochs=300;

net=train(net,p,t);

plot([1:100] .^2,'x')

hold on

plot(round(net(1:100)),'o')

plot(p,t, '*g')

legend('real target', 'output of net', 'training samples', 'location', 'north west')

the error msgs are:

Warning: 'min_grad' is not a legal parameter.

Warning: 'min_grad' is not a legal parameter.

Warning: 'min_grad' is not a legal parameter.

although i defined the epochs to 300 while training continues to reach 1000 epochs

i do not know why ? pls help me

[Walter Roberson]

min_grad is for https://www.mathworks.com/help/deeplearning/ref/traingdx.html not for divideParam