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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...

más de 13 años hace | 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...

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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...

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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...

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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...

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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...

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

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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...

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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 ...

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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...

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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 ...

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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...

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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...

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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; > ...

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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...

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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 ...

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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...

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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...

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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...

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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...

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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. ...

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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...

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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...

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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...

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

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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. ...

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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 ...

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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

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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...

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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...

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