Answered
The performance of hidden neurons
I do not understand your problem. However if you want to see examples of searching for the optimal (e.g., smallest) value of hid...

9 years ago | 0

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Answered
Neural Network training using LeaveMout cross-validation
Since there is no NNToolbox code for M-fold cross-validation, it is just easier to make multiple designs with random datadivisio...

9 years ago | 0

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Answered
Different Result of Analytical and Trained ANN Recurrent Neural Network
You forgot that the MATLAB variables are automatically normalized before training and denormalized after training. Try search...

9 years ago | 1

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Answered
How to get validation test and training errors of a neural network?
clear all, clc [ x, t ] = simplefit_dataset; net = fitnet; rng('default') % For reproducibility [ net tr ...

9 years ago | 0

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How to do a regression with continious input variables and a 3-level categorical response?
Represent each of the 3 categorical outputs with a column of the unit matrix eye(3) Then clear all, clc input = tran...

9 years ago | 0

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how to store weights after neural network training ?
help getwb doc getwb help setwb doc setwb Search both the NEWSGROUP and ANSWERS using either or both of getwb and ...

9 years ago | 0

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Answered
is it possible to change the input to the bais of a neural network?
No ... and there is absolutely no reason for doing so. Why did you want to do this ??? Hope this helps. *Thank you for ...

9 years ago | 0

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Answered
Neural Network: Closed Loop vs. Open Loop
Unfortunately, the documentation is not as clear as it could be. OPENLOOP: The desired output, AKA the delayed target, is use...

9 years ago | 0

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Answered
Data Organization for Neural Network training
You don't have enough data to treat this as a timeseries example. Better to treat it as a regression problem [ I N ] = si...

9 years ago | 0

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Answered
Set weight in neural network in [0 1]
1. Forget about controlling weight ranges. You have several more serious problems: 2. With an I-H-O = 3-6-1 node topology,...

9 years ago | 1

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Answered
My neural network is getting trained but not yielding correct answers?plz help
L = Lx,Ly laser coordinates input At= Ax,Ay actuator coordinates target Ay= Ax,Ay actuator coordinates output DOCUMENTA...

9 years ago | 0

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is it important to normalise the input to a neural network before training
1. Delete and/or modify numerical outliers. Standardization of data to zero-mean/unit-variance is the most effective way ...

9 years ago | 0

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Answered
When doing experimental design for ANN, can I use the interaction factor as input for training the neural network? How can I explain with the result?
Yes. Most designs involve correlated inputs. The important thing is that the design covers all expected ranges for all inputs. ...

9 years ago | 0

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Answered
My neural network is getting trained but not yielding correct answers?plz help
Since normalizations and data-divisions are defaults, I really don't understand what you are doing. If you want a 2-input/2-outp...

9 years ago | 0

Answered
How to extract the transfer equation from matlab for complete neural network?
http://www.mathworks.com/matlabcentral/newsreader/view_thread/341631#936181 *Thank you for formally accepting my answer* G...

9 years ago | 0

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Answered
What is the best training data set to train a Neural Network from the given two options?
Since it takes at least 2 sigmoids to create a local extremum for a smooth data curve, a lower bound for the number of hidden no...

9 years ago | 0

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Answered
Finding Optimal ID, FD and Hidden Nodes for NARXNET
> Hi, After a lengthy research, I have finally have better Understanding about ID and FD. I have then put some code together to ...

9 years ago | 0

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Answered
How can i forecast by neural network tool?
yr/mo/day is constant. Therefore ignore Measure time in hours or minutes from midnight help fitnet doc fitnet Hope t...

9 years ago | 0

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Answered
is my neural network properly trained ?
Yes. However, isn't there any way to use feature extraction to reduce your input dimension below 12455 ??? Can patternnet...

9 years ago | 0

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Answered
One step ahead prediction with Recursive Neural Net (RNN)
The removedelay command reduces all delays by 1 However feedback delays must be positive Therefore, removedelay will ca...

9 years ago | 1

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Answered
How to avoid training stops at less no of iterations in neural network training ?
Validation stopping prevents poor performance on nontraining data. Since weight initialization and trn/val/tst datadivision ar...

9 years ago | 0

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Answered
how to domenstrate the name of the classes which the images belong to after testing the neural network with real world data?
% how to domenstrate the name of the classes which the % images belong to after testing the neural network with % real world...

9 years ago | 0

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Answered
how to vary white noise in data settle in matrix
Looks ok to me *Thank you for formally accepting my answer* Greg

9 years ago | 0

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Answered
Struggling to Improve Neural Network Performance
George Tsitsopoulos about 5 hours ago Hi Greg, >Why is it that MSE is the best measure of error and >the way I was calc...

9 years ago | 0

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Answered
How to set the input and target in power state estimation using neural network?
For N pairs of I-dimensional "I"nputs and resulting O-dimensional "O"utput targets [ I N ] = size(input) [ O N ] = size(...

9 years ago | 0

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Answered
Default number of epochs
In the good ol' days it used to be 100. Now it seems to be 1000. The info in the documentation of trainlm, trainscg and proba...

9 years ago | 0

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Answered
How to train a neural network with genetic algorithm and back propagation?
I have never found an efficient use of GA for training a fixed topology NN. The only successful adaptive topology NNs I have des...

9 years ago | 0

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Answered
how to do stacking for credit risk in matlab?using Neural network and KNN base learner
Since the accuracy rates are approximately equal, the easiest approach is to only make a decision when both classifiers agree. ...

9 years ago | 0

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Answered
Classification problem in neural network code from scratch
1. If you are using PATTERNNET, the targets should be either [ 1; 0 ] or [ 0;1 ] 2. 2500/500 is too imbalanced. Ther...

9 years ago | 0

Answered
Struggling to Improve Neural Network Performance
> I have an input matrix with two features. [ I N ] = size(input) % [ 2 N ], N = ? [ O N ] = size(target)% [ O N ], O = ?...

9 years ago | 2