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NARX Neural Network Error in Preparets (line 293)
> index = 1000; > X = qu2(1:index); > T = qd2(1:index); > > ERROR: "index exceeds matrix dimensions" Isn't it obvi...

fast 9 Jahre vor | 0

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How to interpret this results after creating neural network ?
This is RIDICULOUS! You used 3 consecutive NEWSGROUP posts on this problem. For the most part you just copied previous code w...

fast 9 Jahre vor | 0

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how to manually create a non-linear input-output time series neural network?
help timedelaynet doc timedelaynet Hope this helps *Thank you for formally accepting my answer* Greg

fast 9 Jahre vor | 1

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At what point does variation in neural network training become unreasonable?
Since initial weights are random, the variation in results can be considerable. That is why I routinely design 10 to 30 nets for...

fast 9 Jahre vor | 0

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How to apply neural pattern recognition to evaluate time-series data?
You do not mention any dimensions. So it is hard to make an informed comment. If you can use feature extraction to represent ...

fast 9 Jahre vor | 0

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Normalize Inputs and Targets of neural network
MAPMINMAX can be inappropriate only if there are outliers. Use MAPSTD to detect outliers that can be removed or modified. ...

fast 9 Jahre vor | 1

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How to analyse the results of training of neural network
It is considered ill-mannered to post the same problem in both NEWSGROUP and ANSWERS See my answer in the NEWSGROUP Gr...

fast 9 Jahre vor | 0

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self organizing map interpretation
The numbers are the number of data points inside the hexagonal cluster. Hope this helps *Thank you for formally accepting...

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How do I create a large binary target matrix?
The only way to use eye is target = repmat(eye(6),50) Otherwise start with target = zeros(6,300) then in...

fast 9 Jahre vor | 0

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2-Class Problem with patternnet
In order to insure stability with respect to changes in operating conditions I recommend MINIMIZING THE NUMBER OF HIDDEN NO...

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Back propagation neural network
Insufficient info. Which net? How did you compute regression? The typical measure of regression performance is mean-square-er...

fast 9 Jahre vor | 0

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How can i find the RMSE between 2D double matrices?
E = T-Y; SQE = E.^2 MSE = mean(SQE(:)) RMSE = sqrt(MSE) Hope this helps. *Thank you for formally accepting my ...

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How to store time series data for use in patternnet?
A neural net is not necessary: Typically, linear trends are removed before applying the FFT. Therefore, your question can ...

fast 9 Jahre vor | 0

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Neural network work better with small dataset than largest one ?
With respect to the original question: You really cannot deduce anything worthwhile about performance on the N = 981 datas...

fast 9 Jahre vor | 0

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How can I employ SOM for this problem
What you have proposed makes no sense: 1. SOM is for unsupervised learning. 2. If you know the categories then you shoul...

fast 9 Jahre vor | 0

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Does MATLAB support neural networks for time-series classification problems?
The obvious choice is to use the 1st order differences of the smoothed data as the input to the classifier. Hope this helps. ...

fast 9 Jahre vor | 0

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Does the input data for neural network for classification should be normalized?
MATLAB automatically normalizes input and target data and unnormalizes output results. However, I typically normalize my regr...

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Reducing overfitting in Neural networks
K-FOLD CROSS-VALIDATION IS NOT A CURE FOR THE ILLS OF AN OVERFIT NET. BACKGROUND: 1. OVERFITTING: Nw > Ntrneq ...

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ANN Problem: matrix dimensions must agree.
Whenever faced with the error message Matrix dimensions must agree The commands SIZE & WHOS have always led me to the ...

fast 9 Jahre vor | 0

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How to improve the accuracy of confusion matrix of neural network?
1. Search both the NEWSGROUP and ANSWERS using greg patternnet and greg patternnet tutorial 2. Many of the posts ...

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General code of back propagation feed forward neural network
HAH!!! Trying to use one code for everything is a fool's errand. That is why MATLAB offers several generic codes for several gen...

fast 9 Jahre vor | 0

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Neural network after train script excecution issue
The inner dimensions in one or more matrix multiplications are not the same. Use the size function to verify the inner dimen...

fast 9 Jahre vor | 0

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How to choose the number of neurons in the hidden layer of neural network?
Use trial and error with the training subset goal MSEtrngoal = 0.01*var(trntarget,1) % 1-D target or MSEtrngoal =...

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how to solve this problem using neural network?
For N pairs of I-dimensional "I"nputs and corresponding O-dimensional "O"utput target outputs, the matrices must have the d...

fast 9 Jahre vor | 0

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Why I have the same neural network results with different weight and bias initiation each time?
net.divideParam.trainInd = trnind; net.divideParam.testInd = tstind; GEH1: TRNIND & TSTIND ARE NEVER DEFINED. EVEN S...

fast 9 Jahre vor | 0

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I just modeled some data involving two inputs and two targets using neural networks. How do i get the MAD and RMSE of the data?
See the help and doc documentation on how to obtain the output. help fitnet doc fitnet Then error = target-outp...

fast 9 Jahre vor | 0

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How can i combine neural network with genetic algortihm (GA) to optimize weights in ANN
So far my efforts have not been satisfactory. However, I have not found anything better. See https://www.mathworks.com/matlab...

fast 9 Jahre vor | 0

Frage

WHY CANNOT MATLAB POST SATISFACTORY EXAMPLES OF NN DESIGN USING GA ???
Satisfactory examples would include multiple MATLAB example data sets from help nndatasets doc nndatasets Including a...

fast 9 Jahre vor | 2 Antworten | 0

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How can I include prior information like a known relationship between my output variables of a regression problem into neural network design (fitnet)?
It depends on the relationship. For [ 0, 1 ] targets that sum to 1, just use the crossentropy function in the output layer an...

fast 9 Jahre vor | 0

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Neural Net: Saving Trained Net
I am not sure why you used a cascade forward net. That net has no feedack loops. The generating equations indicate that a nar...

fast 9 Jahre vor | 1

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