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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...

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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...

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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...

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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 ...

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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...

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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 ...

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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 ...

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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...

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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...

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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,...

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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...

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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 ...

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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. ...

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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...

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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...

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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...

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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 ...

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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...

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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...

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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...

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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...

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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...

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

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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...

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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(...

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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...

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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...

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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. ...

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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...

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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 = ?...

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