Answered
Matlab Neural Network program error
% Platon on 23 Apr 2013 at 9:03 % Effectively I did a lot of mistakes. Here is the code adjusted: % 1. I asked you to cho...

13 years ago | 0

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neural network nprtool tansig vs logsig
Most of the nets have a default mapminmax processing default that transforms outputs to the range (-1,1). For that range tansi...

13 years ago | 0

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How to resolve out of memory error?
Unfortunately, your problem is not well posed. You have 27 I/O pairs. The 27 inputs define, at most, a 26-dim subspace. How...

13 years ago | 0

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Answered
Setting sample weights for training of network to set the contribution of each sample to the network outcome
I have found (not only with BioID) that the best way to approach the problem is to weight and/or duplicate so that training prio...

13 years ago | 0

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A DIFFICULT NEURAL NETWORK
Did you correct my numbering so that the second 2 is 3 and the 4 is 5? MSEtrn00 = mean(var(ttrn',1)) MSEgoal = MSEtrn00/1...

13 years ago | 1

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Answered
Neural Network Toolbox Example Dataset Error - Index Exceeds Matrix Dimensions
I do not have this problem. Try clearing the workspace and check after loading clear all, clc; load house_dataset; w...

13 years ago | 0

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Answered
A DIFFICULT NEURAL NETWORK
Performance estimates from training and validation subsets are biased, especially from small data subsets. Try to use subsets wi...

13 years ago | 2

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Setting sample weights for training of network to set the contribution of each sample to the network outcome
I don't really believe in twiddling the net to accommodate a few isolated inputs that cannot be classified correctly. BEFOR...

13 years ago | 0

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Setting sample weights for training of network to set the contribution of each sample to the network outcome
You will have to go thru those 5 BioID threads. I can't remember the details. However, if the ordinary classification scheme ...

13 years ago | 0

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Answered
Training Nerual Network Using Bat algorithm?
You forgot an h: Batch algorithms. All of the help examples use batch training. Those algorithms are defaults. Therefore start...

13 years ago | 0

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Answered
matlab neural network strange simulation performance
What version do you have? If this is classification/pattern-recognition use patternnet, newpr(OLD) or newff(VERY OLD) If ...

13 years ago | 0

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Answered
Feed Forward Neural Network - How do I interpret the output?
Use newff, newpr or patternnet with 'softmax', 'logsig' or 'purelin' as the output transfer function For c classes use a targ...

13 years ago | 0

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Answered
Setting sample weights for training of network to set the contribution of each sample to the network outcome
Notation: The term sample implies a group of data, not a single case or measurement. Use patternnet with 'logsig' or 'softmax...

13 years ago | 0

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Hi, i am using NARX todo multi step prediction of a daily stock market index (Sensex 2003x1 matrix) using another one as input (Nifty 2003x1 matrix). I am having problem with the close loop
%% 1. Importing data % Matrix of 2003x1 each are daily stock market indices data of Nifty & Sensex > load Nifty.dat; > ...

13 years ago | 0

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Answered
How to use different transfer functions within the same layer of a neural network?
If it were possible with the NNTBX, you would have to design a custom net. The only way I can see doing it is to have 3 hidde...

13 years ago | 0

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Why is there a difference in performance error using 'nntool' and 'nftool' when the properties assumed are same?
The nets are initialized with random weights and, by default, random trn/val/tst data division. Sometimes they lead to a good ...

13 years ago | 0

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What is MSE00 and MSE00a and R?
Unfortunately, I just saw this post. MSE00 is the MSE for a naïve constant output model that always outputs the average of th...

13 years ago | 2

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Stock market prediction using Neural Networks.
Why don't you use all of the defaults you can? You have specified two hidden layers. One is sufficient. You have not speci...

13 years ago | 0

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Answered
Matlab Neural Network program error
1. Always begin with all of the defaults on one of the nndatasets that has approximately the same input and output dimensions as...

13 years ago | 1

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Answered
What dose the "Index exceeds matrix dimensions" mean when I train a dynamic neuron networks?
close all, clear all, clc net = linearlayer([0 1],0.02); net.inputs{1}.size = 1; net.layers{1}.dimensions = 1; net.IW...

13 years ago | 0

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Answered
How to provide training data to the neural network?
Always start with default values. If they don't work, change one at a time. You have two hidden layers. One is sufficient. ...

13 years ago | 0

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Answered
How can I do multi-step ahead prediction using NAR for a single timeseries data (Sensex) using colsed loop and removing delay? I tried to use the code generated by GUI.
1. Replace perfc = perform(net,tc,yc) % netc? with MSEc = perform(netc,tc,yc) ; 2. Replace closedLoopPerforma...

13 years ago | 0

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Answered
Neural Network Clustering: Querying a neuron hit on a Self organising Map
Kohonen created his SOM to be used as data a visualization aid; NOT a classifier. He developed the LVQ algorithms for classif...

13 years ago | 0

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Classification Experiment Design - stopping training
1. Initialize the RNG before the H loop and record the current RNG seed at the beginning of each inner loop. You can retrain any...

13 years ago | 0

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Matlab: test data neural network wizard
ynew = net(xnew); Hope this helps. *Thank you for formally accepting my answer* Greg

13 years ago | 0

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How to Decide size of Neural Network like number of neurons in a hidden layer & Number of hidden layers?
Use 1 hidden layer. Use fitnet for curve-fitting or regression. Use patternnet for pattern-recognition or classification. ...

13 years ago | 1

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Answered
How to Show the Weight or Bias in a Neural Network?
1. If the input/output transformation function is reasonably well behaved, 1 hidden layer is sufficient. The resulting net is a ...

13 years ago | 9

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Answered
nntool: after training output matrix size is less than training matrix size
Not enough information to hazard a guess. If it occurs using code, post the code. Greg

13 years ago | 0

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Pattern recognition by neural networks, using binary data sparse matrices
There are 21 ways to choose each of the 3 groups. Therefore, there are 21^3 possible inputs. If there can be no duplicates t...

13 years ago | 0

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R2a vs R2 in neural network MSE
If Ndof = Ntrneq - Nw < 0, there are more unknowns(weights) than training equations and the net is OVERFIT. The excess degrees o...

13 years ago | 1

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