Answered
effect by splitting data in training neural network
Point by point training is done with the function adapt and is called adaptation. help adapt doc adapt However, simil...

9 years ago | 0

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Answered
Data Division in MATLAB Neural Network Train Command
Consider the example in the fitnet help documentation: help fitnet [x,t] = simplefit_dataset; net = fitnet(10); net ...

9 years ago | 0

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Does anyone know how to train a matlab custom neural network in reinforced manner(Only using "adapt" function)?
Does anyone know how to train a matlab custom neural network in reinforced manner(Only using "adapt" function)? I'm trying to tr...

9 years ago | 0

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Matlab multiple time series network
The net recognizes a data input matrix with size [ I N ] as one I dimensional function. You can get around the data situatio...

9 years ago | 0

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while training data in Neural net fitting, should i only put data which has given me the right output in the past?
Only exclude the data if there is a reasonable pre-input rule for excluding it. Of course the search for the pre-input rule i...

9 years ago | 0

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using radial basis function neural network to predict energy load demand
Let me make myself clear. 1. This is a VERY difficult assignment. 2. Stick with the command line approach. You probably wo...

9 years ago | 0

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Normalization for a neural network
MAPSTD and ZSCORE perform the same zero-mean/unit-variance transformation. If you can figure out why you are not getting the ...

9 years ago | 0

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Answered
norm form and prediction
I would unfold your data into a single 2 dimensional input time series matrix of size [ 2 180 ] = size(series) where the i...

9 years ago | 1

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Answered
understanding the output of neural network using the neural network toolbox in R2013b
There are two approaches to classification when the c classes are exclusive. Exclusive classes means that the targets are zero/o...

9 years ago | 0

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Answered
using radial basis function neural network to predict energy load demand
Time-series networks can be quite a challenge when trying to convert from an openloop (OL) system that uses the delayed known ta...

9 years ago | 0

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Answered
How Does Matlab Neural Network Toolbox Preprocess Data?
You forgot the default input and target normalization with MAPMINMAX followed by the output denormalization. Hope this helps....

9 years ago | 0

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Function approximation: Neural network great 'on paper' but when simulated results are very bad?
% I need some help with NN because I don't understand what happened. One % hidden layer, I=4, H=1:20, O=1. I run each net archi...

9 years ago | 2

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Answered
where are the initial weights and biases when training autoencoder?,
Typically, train checks to see if weights exist. If not, then it will initialize the net. Hope this helps. *Thank you fo...

9 years ago | 0

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Answered
Hidden layer activations with Neural Network Toolbox
The easiest way to obtain the hidden layer output of a I-H-O net is to just use the weights to create a net with no hidden layer...

9 years ago | 0

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Answered
neural networks, cross validation, seting traing,test and validation sets, all posibles subset of feature
Ranking a large number of correlated inputs for a NN is usually a thankless task. Since the simpler the model, the better the...

9 years ago | 0

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Answered
How to build Mapping between Input and Output in MATLAB?
> I have 100 matrices each of dimension [200*8000] which forms my final input matrix of dimension [200*800000]. My Target(Ou...

9 years ago | 0

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Need help on neural network train test and validation accuracy
Your data division fractions don't make sense at all. 160/20/240 ==> 0.38/0.05/0.57 You only have 160 training equat...

9 years ago | 0

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Answered
How to build Mapping between Input and Output in MATLAB?
For training using N pairs of I dimensional "I"nputs and O-dimensional "O"utput targets: [ I N ] = size(input) [ O N ] = ...

9 years ago | 0

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Neural network training fails when target values are small. Mapminmax issue?
You have to change the defaults for BOTH the MSE goal AND the Minimum gradient. They are on the scale of the UNNORMALIZED data. ...

9 years ago | 0

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Answered
Neural Network transfer function
You forgot that the inputs and targets are automatically normalized before learning and the output is automatically denormalized...

9 years ago | 0

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How can I get the outputs from the result of additional Test in a neural network Tool box?
Please learn how to post formatted code that will run when cut and pasted. See the above box [ {} Code] Pl...

9 years ago | 0

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Answered
How can I force an output from a artificicial neural network to be either 0 or 1?
Use the help and doc commands on the following functions round, fix, convergent, floor , ceil, nearest Hope this helps. ...

9 years ago | 0

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Answered
How can I get the outputs from the result of additional Test in a neural network Tool box?
y = net(testdata) Hope this helps. Greg

9 years ago | 1

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Answered
Matrix size of layer weights in neural network(Error:net.LW{2,1} must be a 0-by-3 matrix.)
Hello, I had a Elman network with 3 hidden layers, 3 input layers and 1 output layer. This makes no sense. Do you mean Hel...

9 years ago | 0

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Why is Bayesian regularization backpropagation (Neural Network Toolbox) so very very slow?
Use the command type trainbr *Thank you for formally accepting my answer* Greg

9 years ago | 0

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neural networks, MSE goal
You could have searched the NEWSGROUP and ANSWERS. Anyway, See: WIKIPEDIA: Degrees of Freedom Ntrn = number of trai...

9 years ago | 0

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Answered
Running m -files repeatedly
I have posted zillions of examples w.r.t. multiple designs differing by number of hidden nodes and initial random weights. Se...

9 years ago | 0

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Answered
RBF newrb, array exceeds maximum size
1. See my NEWRB posts in the NEWSGROUP and ANSWERS NEWSGROUP hits ANSWERS hits greg NEWRB 149 ...

9 years ago | 0

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Answered
Matlab NARX while loop
The code you are using wastes time and space by making unneccesary assignments of variables to their default values. A bette...

9 years ago | 0

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Answered
Neural network time series prediction with ANN Toolbox
For NARNET and NARXNET to be useful, target input values used in the openloop (OL) design have to be replaced by feedback from t...

9 years ago | 1

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