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Can somebody explain me how to use "divideind"??
[ inputs, targets ] = simpleclass_dataset; [ I N ] = size(inputs) % [ 2 1000 ] [ O N ] = size(targets) % [...

12 years ago | 3

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Can somebody explain me how to use "divideind"??
The first time use as many defaults as possible. Defaults and basic code examples are listed in help patternnet and doc ...

12 years ago | 0

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in a Neural Network, how the network object can be used to calculate the network response to any input?
output = net(input). %output = sim(net,input) is now obsolete

12 years ago | 0

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How can I evaluate neural network tool (such as, BP and MLP) in matlab.
If this is a classification problem, search words are patternet (Current function for classification and pattern recognit...

12 years ago | 0

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Applying Gabor features for vehicle classification
If you have N I/O pairs of I-dimensional inputs and O-dimensional target outputs, the data matrices must have the sizes [ I ...

12 years ago | 1

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Answered
How to improve the close-loop net performance for NARXNET?
The bottom line is to drive the OL error as far down as possible. Then closeloop and train on the same data. CL error will ne...

12 years ago | 0

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How to train data in Neural Network
You need to 1. Initialize the RNG before train so that you can duplicate your results 2. Convert your output to percent ...

12 years ago | 0

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Answered
How can I solve this problem?
% How can I solve this problem? % Asked by Parwaz Ali about 6 hours ago % Latest activity Commented on by Walter Roberson...

12 years ago | 0

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Perceptron : Recognition Pattern ABC
Start with MATLAB examples help fitnet % regression/curve-fitting help patternnet % classification/pattern-recognit...

12 years ago | 0

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does anyone know why this neural network is not giving the right target values????plz any helpppppp
% Weird data set: plot(input,target,'o') The data does not represent points from reasonable function. The target says" Re...

12 years ago | 1

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Answered
How to calculate network value with 2 input vectors .
Is there any reason why you won't use the help and doc example as a guide? For example, run the example. Then look at the net...

12 years ago | 0

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Perceptron : Recognition Pattern ABC
9X7 input matrices have to be columnized using the (:) operator into 63 dimensional vectors. Outputs should be columns of the ...

12 years ago | 0

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How can be fitted a function in Neural Network that has a 100x9 input matrix and a 9x1 output matrix such that 100 samples can be read.
The N I-dimensional input and O-dimensional output target examples have to be stored in matrices with dimensions [ I N ] = s...

12 years ago | 0

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neural network performance analysis
result = ntrial R2trn R2val R2tst 1.0000 0.8610 0.8746 0.8218 2.0000 0.8532 0.8778 ...

12 years ago | 0

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neural network performance analysis
Initialize the random number generator at the beginning. So we can compare, use rng(0). Also make 10 designs in a loop ove...

12 years ago | 0

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Can somebody explain me how to use "divideind"??
Try something and post it. If it is wrong maybe someone can help.

12 years ago | 0

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Multiple Nonlinear Regression Equation using Neural Network Toolbox
R = 0.999 doesn't mean much unless you can convince us that you did not over-train an over-fit net: size(x) = [ I N ] % I...

12 years ago | 1

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Answered
How to set my target for the neural network pattern recognition
size(input) = [ 14 303 ] size(target) = [ 4 303 ] Hope this helps. *Thank you for formally accepting my answer* Greg...

12 years ago | 0

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error using classperf function
Why the RBF tag ?? SORRY. I cannot run your code because I have neither CROSSVALIND nor CLASSPERF. HOWEVER, I understand t...

12 years ago | 0

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Neural networks for data prediction
[ I N ] = size(input) % [ 9 6 ] [ O N ] = size (target) % [ 1 6 ] Neq = prod(size(target)) % No. of EQUATIONS = N*O = 6...

12 years ago | 0

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Answered
Extracting Corner Features with PCA and feeding it to neural network
% Extracting Corner Features with PCA and feeding it to neural network % Asked by Adil about 2 hours ago % I am doing a p...

12 years ago | 3

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Answered
How do I start coding for neural network time series?
Examine the help examples for timedelaynet, narnet, narxnet and closeloop. Next try other examples help nndatasets. ...

12 years ago | 0

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Answered
Train one NARX network to predict an output, but using multiple sets of time series data gathered in separate runs (each one consists of adjusting a different variable and observing the system output)
Sorry, but you have to train nets with input/output pairs similar to the ones that they will encounter when deployed.

12 years ago | 1

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Answered
How to change the outputs of the neural network that the error function receives
Hi Greg, %Thanks, this certainly has been helpful. %The answer to your question is c. A combination of a and b. %I've...

12 years ago | 0

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Back Propagation Neural Network
Convert to matrices and transpose [I N ] = size(inputs) [ O N ] = size(targets) Use fitnet for regression and curve-...

12 years ago | 0

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neural network
avector = amatrix(:); You will have to illustrate your preallocation problem.

12 years ago | 0

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Training set and target set and output in Matlab neural network
patients arrt1 attr2 attr3 disease 1 present not present heavily prese...

12 years ago | 0

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how to divide data set in input data and target data for prediction in neural network
The desired response for the input in the ith column of the input matrix is the ith column of the target matrix. For example ...

12 years ago | 0

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What is the meaning for InputDelays and FeedbackDelays in Neural Network time series prediction?
y(t) = f(x(t-id:t-1),y(t-fd:t-1); Good input feedback delays can be obtained by finding the significant delays of the input-t...

12 years ago | 1

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Answered
How to change the outputs of the neural network that the error function receives
The classical approach for c classes is to minimize Bayesian Risk R given prior probabilities Pi (i=1:c), classification costs C...

12 years ago | 0

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