**What is network performance and error in sim function of Artificial Neural Network (ANN)**Hi im using ANN as a beginner and having a lot of trouble with it. I am usinng the sim function to test my input . My code is like this
net = newff(ob,obb,hidden_layer_sz, {'radbas' 'radbas'},'traingd','learnlv1' );
net = train(net,ob,obb);
[network_output,garbage_1,garbage_2,error,network_performance]=sim(net,ob,{},{},obb);
It returns network_output and error and network_performance. But i dont understand what does those value stand for. Like I expected network_performance to be between 0 to 1. so that i can understand prediction accuracy fr...

**Artificial Neural Networks**Hello
Please let me know of an online site for simulating artificial neural
networks.
Aslam Atiq
Start here:
www.membrain.com
On Nov 22, 11:32 am, aslat <as...@rediffmail.com> wrote:
> Hello
> Please let me know of an online site for simulating artificial neural
> networks.
>
> Aslam Atiq
http://citeseer.ist.psu.edu/kock96simulation.html
http://citeseer.ist.psu.edu/serbedzija96simulating.html
...

**neural networks regression**hi frds,
i m doing project in neural networks regression.i hav to
use feedforward back-propagation algorithm . if u have d
code plz send it to kay.s2k@gmail.com .....
plz
On Feb 8, 2:00=A0am, "sathish k" <kay....@gmail.com> wrote:
> hi frds,
> =A0 i m doing project in neural networks regression.i hav to
> use feedforward back-propagation algorithm . if u have d
> code plz send it to kay....@gmail.com =A0 =A0.....
Is the Neural Network Toolbox available?
Hope this helps.
Greg
...

**artificial neural network**hi everybody..
this is srikanth.. I am in need of some info about 'nntool'.. I
would like to link this tool to some simulink model. can you please
help me..
srikanth
hai,
This is BaijuMax,
try to explain u r problem in detail.
Any nntool or neural network related functions very easy to use.
But difficult part is how to design Neural network that best suits u
r problem.
There many functions for training available .
Type 'doc nnet' to get the matlab help.
If u need further help ,mail me.
...

**artificial neural networks**Anyone here using artificial neural network software in their robot?
m
--
"In theory, there is no difference between theory and practice. In
practice, there is."
http://annevolve.sourceforge.net is for those seeking intellectual challenges. (and artificial neural network software in C)
Humans may know that my email address is zenguy at shaw dot ca.
...

**Generalized Regression Neural Networks**hello!
I have started playing with GRNN and have found it to be a good tool.
I've used it for a redundant temperature sensor.
Has anyone else used it with/out success? I haven't been able to find
many papers on it so I'm wondering if it's "passe."
Any insight would be appreciated.
Thanks
Maritimer wrote:
> hello!
>
> I have started playing with GRNN and have found it to be a good tool.
> I've used it for a redundant temperature sensor.
>
> Has anyone else used it with/out success? I haven't been able to find
> many papers on it so ...

**Artificial Neural Networks for Medicine**I am a Medicine student. I recently came to know about this idea of
Artificial Neural Network. I just want your help to guide me how to
study it, where to start as I dont have a strong Mathematics
background. I have the respective understanding of cell biology and
neuroscience.
On 9 May 2006 02:35:23 -0700, "sadiq" <sadiqwaterrat@gmail.com> wrote:
>I am a Medicine student. I recently came to know about this idea of
>Artificial Neural Network. I just want your help to guide me how to
>study it, where to start as I dont have a strong Mathematics
>background. I have...

**GA+Artificial Neural Network**Hello everybody,
First I would like to ask how can I search the newsgroup archive, if there
is one,
with keywords?
I am doing an turbomachinery optimization with Micro GA program from
Carroll, Cu aerospace
and fitness evaluations are performed with Artificial Neural Networks,
trained using
Navier-Stokes solutions (fluid dynamics).
I have 27 input parameters to be optimized.
The program uses
-tournament selection and binary coding.
I would like to have your opinions on:
1-the appropriateness of micro GA in the first place (population size 10?)
2-relation between the population size and the ...

**General Regression Neural Networks**Hi,
I'm learning neural networks and I have a little trouble understanding the
second layer (summation layer) of the General Regression Neural Networks. Do
I understand correctly that when I want a single output I have two units in
the summation layer:
- The first unit should sum the outputs of the pattern units (RBF-layer).
- The second unit should multiply each output of the pattern unit with the
associated weight?
Sum after multiplication.
Not sure what you mean by "units"
the ouput activation function implements
both operations.
Hope this helps.
Greg.
...

**Simulating Artificial Neural Network**I have trained a neural network with 7x 600 input data and 8x600 target data matrices using feed forward back propagation(hidden layers 10) method in matlab with nntool.The performance is 0.0249,gradient is 0.00729.After training,simulated the network with the unknown data set of 7x60 . The network divided half of the data (0 0 1 0 0 0 0 0) well and other half it is showing all zero's.I retrained the network and this time some improvement is there.But some of the data are unclassified( 0 0 0 0 0 0 0 0 ).What could be the reason for this ?I f any one knows please share answer.
"Sure...

**Regression problem in neural networks.**Respected Sir/Madam,
I want to calculate the regression through the neural networks. So
plz guide me how to do the same.
Kindly confirm which would be more suitable: Feed forward
backpropagation or GRNN for this.
I have used GRNN to some extent but I am not getting the figure
(graph) which shows the regression line. Therefore, kindly let me
know how to view the GRNN results in graphical form and finally
interpret the results.
With regards.....!
Rakesh Kaundal
...

**Artificial neural network in matlab**Does anyone can share some matlab code about Artificial neural network application? My study relative to water resources that prediction water level in the future. thank you !
"QU�N H?NG" <infohquan@gmail.com> wrote in message
news:391fe545-3e5a-4c24-b2a9-153207a69731@googlegroups.com...
> Does anyone can share some matlab code about Artificial neural network
> application? My study relative to water resources that prediction water
> level in the future. thank you !
http://www.mathworks.com/help/nnet/index.html
and/or look at the User Stories linked to...

**Artificial Neural network #2**Dear all;
I am developing a Feedforward ANN using the ANN statistical toolbox.
net= fitnet(hiddenLayerSize);
[net,tr]=train(net,input,targets)
I have normalized my inputs and targets data using the function "mapminmax", after the training i looked into the performance of the training (perf), validation (vperf) and testing( tperf) in the training record and the values are extremely low comapred to these obtained without normalizing the inputs and targets.
My questions are:
1-So, when normalizing the inputs and targets, should we also, at the end, denormalize the mse values...

**Artificial Neural Networks recommendation**-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA1
Hi,
I'd like to use ANNs in python, especially Simple Recurrent Networks.
Ideally I'd like to find a quick, pythonic module that is able to
simulate different styles of network architectures including some types
of recurrent networks (must: SRN/Elman, may: other recurrent networks
like ESN or LSTM to experiment with them).
So far I found the following Python ANN modules:
- - PyNN (just a builder, requires external simulator) –
http://neuralensemble.org/trac/PyNN/
- - Con-x (part of pyro) – http://pyrorobotics.org/?page=Conx
- - PyNeurGe...

**Regression**Hello,
I'm trying to create a regression model using the NN toolbox but I can seem to get it.
I have an input matrix X (20x7) with 20 observations and 7 "variables" and an output vector Y with 20 observations too.
So, what I want is simply a vector containing the weights (w) calculated by the NN.
Actually, I want to compare the results with those I've obtained using other regression models.
thanks in advance.
Sergio.
On Sep 21, 10:37=A0am, "Sergio Silveira" <skett...@zipmail.com.br>
wrote:
> Hello,
>
> I'm trying to create a regression...

**artificial neural network with matlabpool**Hello
I'm trying to run a program contained data training with probabilistic neural network, using matlabpool parallel toolbox as the standard user on a PC (not the administrator)
even though I could run the same program, on frequent occasion on my previous PC ( Intel R core(TM) i7 CPU 930@ 2.8 GHz) with lower amount of memory (8 GB ) but despite many toils I'm not successful in running the program on my current PC.
even though I'm sure that the PC that I'm working with should be able to train and run larger amount of data but it can not.
the Matlab version that I used now...

**latest in artificial neural network**https://www.youtube.com/watch?v=JSNZA8jVcm4
www.youtube.com/watch?v=JSNZA8jVcm4
...

**General Regression Neural Networks #2**Hi,
Being new to GRNNs I'm having trouble in understanding what the weights
should be between the hidden layer and the
output layer?
Basically, the weights between hidden layer and the output layer are
just the output values of the training data (Because there is the same
number of hidden neurons as the number of training data, there is the
same number of weights between the hidden layer and the output layer as
the number of training data too.).
Sami Lakka wrote:
> Hi,
>
>
> Being new to GRNNs I'm having trouble in understanding what the
weights
> should be bet...

**Is neural network same as artificial intelligence (AI) ?**
Is neural network same as artificial intelligence (AI) ?
If my application is base on a neural network for recognizing things,
for example objects in a picture, can I tell people that my
application is base on artificial intelligence (AI) ?or is it
something else?
Just wanted to understand this point for once.
Thanks :-)
On Jul 11, 3:49=A0am, Sigmoid 2009 <sigmoid2...@gmail.com> wrote:
> Is neural network same as artificial intelligence (AI) ?
>
> If my application is base on a neural network for recognizing things,
> for example objects in a picture, can I tell people t...

**Efficient arrays for artificial neural networks?**Hi group,
I've been toying with the idea of spending some upcoming free time of
mine this summer writing my own image recognition program, based
primarily on neural networks.
I've already written a simple one that counts the number of 1's & 0's
in a binary string. After a bit of training, it gets it right most of
the time. It's learning technique is simple - it starts off with a
fixed topology (number of layers, neurons per layer) and randomly
changes weights until the error is minimised.
In the past I stored the neural data (number of neurons per layer,
which is con...

**How to compare the results of neural networks and regression?**Hello,
I want to compare my results of an MLP with traditional (linear)
regression and I'm not quite sure how to do that correctly. Is
r-square a good validator or not and on which sets should the models
be "trained" and validated. Which other validation possiblities
can/should be used (i.e. MSE)?
Read a lot of articles on comparisons between those models now and
most of them give very little insights into the exact method of
comparison.
I'd be glad if anybody had some literature tips for me or some other
help. Thank you very much.
Bastian
...

**Need Help with Artificial Neural Network**Can anyone help me in suggesting how can I extract the weight values obtained from the neural network training. A little help and suggestion in this regard would be highly appreciated.
may be:
net.IW
net.LW
net.b
thanks a lot for the help....:D...btw can we extract the individual neurons output?
"Sandro " <smgoni@unq.edu.ar> wrote in message <icjsvj$6nv$1@fred.mathworks.com>...
> may be:
>
> net.IW
> net.LW
> net.b
I do not know how to do it, ie, if exist any function to do it. However, tha output depend on the input.
If the input is x,...

**train general regression neural network**Hi, I want to use "nntool", the GUI function to create a
GRNN network and train it. But I find that the train button
is blocked. When I use feed-forward backprop to create the
work, it seems work it again. Can anyone tell me why?
On Aug 28, 2:39=A0am, "Huang HungWei" <h4046...@gmail.com> wrote:
> Hi, I want to use "nntool", the GUI function to create a
> GRNN network and train it. But I find that the train button
> is blocked. When I use feed-forward backprop to create the
> work, it seems work it again. Can anyone tell me why?
My guess is t...

**Is universal artificial neural network possible?**There are numerous algorithms or architectures of networks artificial
intelligence at present, while each of them only deals with a narrow
scope of applications, although many of them involves considerable
efforts and complicated methods. The current achievements impress us
that true intelligence is far to attain.
It was the borrowed idea from biology decades ago that contributes to
the advent of artificial neural network, which opened the new era
although the the model is much simpler than real brain. But since then
researchers have been concentrating on more and more complex
mathematical me...