**neural network: Recurrent Neural Networks**Hi Greg and Anders,
thanks for your help of my backpropagation topic. Now I switch to
recurrent neural networks.
My question:
1. Does it the recurrent neural networks need
to divide input data into training, validation and testing 3 sets?
I tried to convert my previous brackpro code into recurrent but it
prompt out the error that the "train" code section has too many input
arguements, which include VV and TV...
Felix
Hi
I tried to use Elam network. One strange result came to me.
I used 10 hidden units it shown that the preformance goal is not met.
and the mse
is about 8.5 . Then ...

**Neural Network Architecture with MATLAB Neural Network Toolbox**Dear neural network experts,
I would like to make a neural network model for a situation
when some of the input variables can interact, while
others don't have any interactions. This information is
based on logical considerations and I have to include it
into the architecture of the net.
For example, I have 3 different groups of input variables.
Within each groups the variables are disjunct (i.e. no
interaction). Variables of different groups may interact.
This would result in either
- restrictions to some weights of a network consisting of
completely inter-linked neurons (i.e. some weight...

**neural network predictiver controller in neural network toolbox**I got some question that would like to ask about the minimizaton
routine in neural network predictive controller in neural network
toolbox.
1. Is there any method to calculate the control signal which minimize
the performance index beside using Simulink? Any Matlab command which
is relevant for minimization of performance index?
2. What is the teory for minimization routine like csrchbac? Is there
any reference that I can refer?
I am looking forward for any reply from any other Matlab user. Thank
you very much for spending your time to read my message. Thanks again.
Hi, G.H.Heng
you work ...

**Request : Introductory Material on Neural Networks and Fuzzy Neural Networks**Hey All,
I am interested in Neural Networks and Fuzzy Neural Networks. My
school library isn't staffed with the books that were mentioned in the
FAQ. Other than the wikipedia article, could anyone tell me where I
could get good online introductory material about Neural Networks and
Applications of Fuzzy Logic in Neural Networks.
Thanks a lot,
Devdatta
http://www.ai-junkie.com has some pretty good info :)
"dev" <dev.akhawe@gmail.com> wrote in message
news:1163341237.990631.232940@h54g2000cwb.googlegroups.com...
> Hey All,
> I am interested in Neural Networks and...

**how to get neural network result**If NN is trained with train(net,P,T). Let training of data has been done for images and generate matrices for P. T is the output assigned for respective P image matrices. Now, How to test the network with testing data? where testing data is matrix form of images. Do we need to run sim(net, test_matrix)? If yes, how to interpret output?
...

**weird neural network results**Hello,
Using the code in this tutorial
(http://www.informit.com/content/index.asp?product_id=%7BEB1A220C-4401-40C1-
83D1-A15C073B6507%7D) , I built:
a 2-neuron input layer
a 2-neuron hidden layer
a 1-neuron output layer
I trained it the xor operator using 10,000 iterations for each input/output
combinations.
When I tested it, I usually get the right answers:
0.0 - 0.0 = 0.0038773712493636787
0.0 - 1.0 = 0.9960101571120731
1.0 - 0.0 = 0.9960088662028559
1.0 - 1.0 = 0.004875503827332909
Sometimes I get some unusual answers, such as these:
0.0 - 0.0 = 0.0037886942160241096
0.0 - 1.0 = 0.499...

**Result vector of neural network**Hi,
As far as I know, when a neural network (e.g. multilayer, backprop) is
applied for classification, the output neuron with the highest
excitation is chosen as result. What about taking the highest X
excitations and try to classify?
For example:
3 different classifications are performed. The four highest outputs of
each classification run are displayed below (a-c)
Output a = [ 1 3 4 5] --> 1
Output b = [ 1 7 16 9]
Output c = [3 1 4 5]
For some reason we know that Output a is correct. The question is if b
and c return the correct result. If one looks at output b and c one
would probabl...

**Probabilistic Neural Network and Radial basis function Neural Network**I am a final year student in B.Tech Information Technology. I am doing a project related to object recoginition using Probabilistic Neural Network and Radial basis function Neural Network. Please send me the running code of these networks.
Thanx
...

**Neural Network Result for Furture**Hi, everybody
I have a basic problem about the Neural Network tools of Matlab.
When I finished the train of network use
net = newrb(P,T,0.02,1);
How can I save this result and reuse this network for furture forecaseing(This network is create for forecasting somethings).
So my questing is
How do I save the resule?
How do I reuse it in furture?
Thanks a lot.
Angler Chiang
...

**Neural Network Poor Simulation Result**Hi
I am using the nntool to predict target values. My Matlab version is R2008b.
I divided my whole data into training set (70%) and testing set (30%) by the year.
My training results are acceptable (Regression R= 0.8 or higher), but my simulation results (using testing set) are really bad (the correlation coefficient are close to zero or even negative).
If that's because I divided the training and testing set by time? Is there any way to improve the SIM results? Like randomize the training and testing data?
Thank you in advanced!
...

**How can I create a neural network for data classification using the Neural Network Toolbox?**I want to create and train a neural network which can classify the input data. In my case, I would like to classify the voice/speech input signal. For your information, i had already done the feature extraction stage for the signal. Now, i have a problem how to recognize/classify using neural network.Please help me ..thank you.
"fikrulhakim" wrote in message <htdtq1$irq$1@fred.mathworks.com>...
> I want to create and train a neural network which can classify the input data. In my case, I would like to classify the voice/speech input signal. For your information, i had alr...

**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
...

**Help! Neural Network Poor Simulation Result**Hi
I am using the nntool to learn and predict target values. My Matlab version is R2008b.
I divided my whole data into training set (70%) and testing set (30%) by the year.
My training results are acceptable (Regression R= 0.8 or higher), but my simulation results (using testing set) are really bad (the correlation coefficient are close to zero or even negative).
If that's because I divided the training and testing set by time? Is there any way to improve the SIM results? Like randomize the training and testing data?
Thank you in advanced!
On Oct 27, 6:01=A0pm, asleo24 <asl...

**classified results vs targets Neural network**Dear Friend,
I am using NN for classification. I have defined two targets as: Class A [1 0] and Class B [0 1]. If the output is [1 0], I certainly know it belongs to class A. However, if the output is not perfect, say, [0.56 0.43], how do I know this belongs to which class? The 'plotconfusion' function in Matlab gives the statistics by knowing the outputs and targets. But how does it actually calculate those statistics ? Please give me a help! Thanks a lot!
On Aug 25, 10:19 am, "Tao Sun" <t...@ecs.soton.ac.uk> wrote:
> Dear Friend,
>
> I am using NN fo...

**Neural Network Resources**Hi everyone,
Thanks for voting.
The result and a new poll are now available online.
Please feel free to check them out and submit your vote.
http://www.makhfi.com
thanks in advance,
-Pejman
...

**Neural Activity in Neural Network**Hi,
Sorry for my "english"...
I trained a neural network and i want to study it.
This network have one hidden layer and I want the activity in tis hidden layer... but i don't make that...
I try that :
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
load net_RDN
input = ones(1,19);
% pour voir la repr?sentation du r?seau
%view(net)
% mise en forme du vecteur d'entr? (en ligne)
if size(input,2) == 1
input = input';
end
% calule de l'activit? des neurones de la couche cach?e
num_layer = 1; % indice couche cach?e
for a=1:net.Layers{num_layer}.size
activity.HL(a) = f...

**Sectors using Neural Networks**Hi everyone,
thanks for voting.
The result is now available for your review.
Frankly I was surprised to see no one voted for BioTech!
Any thought on that?
There is also a new poll available to capture market share of Neural Network tools.
Please feel free to check it out and submit your vote.
http://www.makhfi.com
thanks in advance,
-Pejman
...

**Neural Network Tools**Hi everyone,
Thanks for voting.
The result and a new poll are now available online.
Please feel free to check them out and submit your vote.
http://www.makhfi.com
thanks in advance,
-Pejman
...

**Favorite Neural Networks Tools**Hi everyone,
Thanks for voting.
The result and a new poll are now available online.
Please feel free to check them out and submit your vote.
http://www.makhfi.com
thanks in advance,
-Pejman
...

**Neural Network Tools**Hi everyone,
Thanks for voting.
The result and a new poll are now available online.
Please feel free to check them out and submit your vote.
http://www.makhfi.com
thanks in advance,
-Pejman
...

**Neural Networks Cant Generalize..Results error in New Data**Hi all of you.
i got a problem in Neural Networks.my net doesnt produce
required results when new data( test ) data is applied.it is
100% good in memorization..im not what is the problem, can
any one help/suggest what is the actual problem...the code
goes as below:
clear;clc;
% SET CHARACTERS:
alphabet =Alpha4Train();
targets=TargetSet();%eye(23);%
[Sa,Qa] = size(alphabet);
[S2,Q] = size(targets);
ValidatingChar=Alpha4Test();
TestMem=alphabet(:,77);
TestGen1=ValidatingChar(:,1);
TestGen2=ValidatingChar(:,2);
TestGen3=ValidatingChar(:,3);
% DEFINING THE NETWORK
% ====================
S1 =...

**neural network appcr1 character rec demo gives bad results?**
I have run the appcr1 character recognition demo several
times. The performance is terrible and nothing close to
what the documentation says. My display results plot
showing the percentage of errors show over 90% errors even
for no noise level. What's wrong with this demo??
...

**help! try to contruct the simulation result of neural network by computing directly**Using nftool. I get the weights and bias by training the network. then I compute the result directly by:
w2*tansig(w1*input+b1)+b2 where w1=weights in layer 1, w2=weight in layer 2, b1=bias 1, b2=bias 2
But the result is different from the output from simulation. Even I use the nntool to cinstruct the network myself , I still cannot get the right one...What's wrong??
Thanks a lot!!
"leo " <leochengst@gmail.com> wrote in message <hlc6lb$iu8$1@fred.mathworks.com>...
> Using nftool. I get the weights and bias by training the network. then I compute the result dir...

**Neural Networks-- train function error Indexing cannot yield multiple results.**I've used the nprtool to generate the script to train a neural network. I wanted to change the training algorithm from trainlm to conjugate gradient descent or something like that.
% Solve a Pattern Recognition Problem with a Neural Network
% Script generated by NPRTOOL
% Created Tue Nov 01 18:08:00 IST 2011
%
% This script assumes these variables are defined:
%
% train - input data.
% train_labels - target data.
clc;
inputs = train';
targets = train_labels';
% Create a Pattern Recognition Network
hiddenLayerSize = 60;
net = patternnet(hiddenLayerSize);
...