Path: news.mathworks.com!not-for-mail
From: "Tak " <lauhotak@hotmail.com>
Newsgroups: comp.soft-sys.matlab
Subject: Re: [HELP] Unknow error in my neural network
Date: Tue, 18 Nov 2008 02:37:07 +0000 (UTC)
Organization: The MathWorks, Inc.
Lines: 10
Message-ID: <gft9oj$r81$1@fred.mathworks.com>
References: <gfp8rd$oep$1@fred.mathworks.com>
Reply-To: "Tak " <lauhotak@hotmail.com>
NNTP-Posting-Host: webapp-03-blr.mathworks.com
Content-Type: text/plain; charset="ISO-8859-1"
Content-Transfer-Encoding: 8bit
X-Trace: fred.mathworks.com 1226975827 27905 172.30.248.38 (18 Nov 2008 02:37:07 GMT)
X-Complaints-To: news@mathworks.com
NNTP-Posting-Date: Tue, 18 Nov 2008 02:37:07 +0000 (UTC)
X-Newsreader: MATLAB Central Newsreader 728346
Xref: news.mathworks.com comp.soft-sys.matlab:501335


Continuous from above question, normally [x, y] = size(dataset), row(x) or column(y) should be go to the input nodes of the network? for example, I have 60features (row(x) or column(y) value!?), is that mean my input nodes will be 60?

Also because I am a newbie to Matlab and nntool, How can I find out the accuracy of the trainned network? 

For example, now I have new image which is not include of the training examples. Should I use "sim" function to test it?

And I have 300 images for training, is there any efficiency way to test them all which is classify correctly? a plot function or I have to write my own equation?

Many thanks,
Tak