Answered
How to run time series neural network on a rolling basis?
What you want doesn't make much sense. 1. You are misusing the NN term validate. Typically, there are two steps design + ...

7 years ago | 0

Answered
Can I use a NARX neural net to learn a time series of the form: y(k) = K0 * y(k-1) + K1 * x(k) + K2 * x(k-1) + K3 * x(k-2) where x(k) is the input time series ?
Only if k and n are positive and linearly related. Hope this helps. *Thank you for formally accepting my answer* Greg...

7 years ago | 0

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Ho to add activation function neuron?
Search the NEWSGROUP AND ANSWERS using greg patternnet Hope this helps. *Thank you for formally accepting my answer*...

7 years ago | 0

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Large values of MSE and RMSE
I always plot the auto and cross correlation functions before determining which range of delays to try during my search of the m...

7 years ago | 0

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Where in documentation does it say that fitnet([]) gives a linear model?
fitnet(H) yields H nodes in the hidden layer A linear function needs no hidden layer I could only think of 2 possibilities...

7 years ago | 1

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Using R^2 results to optimize number of neurons in hidden layer
The answer is H = 12. H >= 13 is overfitting. If that makes you queasy, average the output of the H=12 net with the 2 with H ...

7 years ago | 0

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Answered
Inputs and targets have different numbers of samples.
In general: For I-dimensional input vectors and O-dimensional target/output vectors size(input) = [ I N ] size(targ...

7 years ago | 1

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What's the difference between NARX open loop + remove delay and closed loop to forecast N steps ahead?
Open loop (OL) uses a priori target information to simulate output feedback. It is primarily used for design since the future o...

7 years ago | 0

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About net.divideParaM.valRatio
1. Now, in a classification problem, I didn't want the validation to be too low and I set net.divideParam.valRatio = ...

7 years ago | 0

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What is the difference between trainlm and trainrp?
Before asking questions about any functions it is good practice to first use the MATLAB info via, e.g., help trainrp doc ...

7 years ago | 0

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Answered
Apply function to each column of matrix for all columns without for loop
The MATLAB CONVENTION is that functions operate on matrix columns. Therefore, it is only with user-defined functions that ope...

7 years ago | 1

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How to correctly use the newrb function for multidimensional data?
???...I cannot understand your confusion !!! ESPECIALLY since the documentation explicitly states X - RxQ matrix o...

7 years ago | 0

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How to correctly use the newrb function for multidimensional data?
Individual inputs, targets and outputs are ALWAYS column vectors. help newrb newrb Design a radial basis network. R...

7 years ago | 0

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Train nonlinear input-output neural network with multiple data sets
ALL OF YOUR FEARS ARE UNFOUNDED. IN PARTICULAR 1. Combining inputs into one large set to obtain jumps in the data can be bene...

7 years ago | 0

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neural network NARX time series
It is not unusual for performance to degrade substantially when the loop is closed. Solutions that that have worked for me ...

7 years ago | 0

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Type of artificial neural netowrk suitable for learn and then predict forest growth
This is aregression prolem, not a classification problem. help fitnet doc fitnet Hope this helps *Thank you for fo...

7 years ago | 1

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How do I add layer to a custom NN while keeping the weights and biases of trained layer constant?
What I have done is to store the signals that will be inputs to the addition. Then I use that stored data set to train the ad...

7 years ago | 0

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WHY HASN'T THE PERSISTENT ERROR IN HELP/DOC/TYPE NEWFF BEEN CORRECTED???
The answer is in the question

7 years ago | 0

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Neural Network Search Strategy Confusion
The answer is in the question

7 years ago | 0

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MORE HELPFUL THAN CODE IN HELP/DOC/TYPE NEWFF?
The answer is in the question!

7 years ago | 0

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What is "THE STANDARD UNIVERSAL APPROXIMATOR NEURAL NETWORK "
The question is the answer

7 years ago | 0

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Questions about the regularization (Modified Performance Function) of neural network
Oh! … O.K. The simplefit_dataset is smooth with 4 interior local extrema. Therefore, you probably only need H = 4 hidden node...

7 years ago | 0

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Questions about the regularization (Modified Performance Function) of neural network
% When I search the command line window for info on "regularization" : >> help regularization regularization not found. ...

7 years ago | 1

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Can we say that overfitting occur in this plot?
This is a case of *OVERTRAINING AN OVERFIT NET* There are at least 3 ways to avoid this: 1. *DO NOT OVE...

7 years ago | 1

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How can two neural networks be compared for regression based on training and testing results?
Ask Kangujam !

7 years ago | 0

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bayesopt: how do I know when the hyperparameter optimization has converged?
For good estimators I tend to be satisfied when the squared error is at least 100 times smaller than that of the reference naive...

7 years ago | 0

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What are the acceptable values of mean squared percentage error in load forecasting in neural network?
The simplest model for a neural net reference is just assuming that the output is a constant. The minimum MSE occurs when that c...

7 years ago | 1

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What is the difference between recurrent neural network and NAR and NARX networks? Is there any good literature available to understand the difference between them, especially the training algorithms in MATLAB backend implementation. Thanks
Recurrent networks are a general category of networks that feed output or intermediate signals BACKWARD toward a PREVIOUS point ...

7 years ago | 0

Question

What is "THE STANDARD UNIVERSAL APPROXIMATOR NEURAL NETWORK "
The "STANDARD" UNIVERSAL APPROXIMATOR NEURAL NETWORK is a hidden layer regression net with 1. A SINGLE hidden layer ...

7 years ago | 1 answer | 0

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answer

Answered
How to test rbf for character recognition?
If that character was not part of the training set, add one or more noisy versions of it to the training set and continue traini...

7 years ago | 0