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Problems with neural network training
Difference in performance can be caused by different random initial weights. Be sure you have initialized the RNG to the same...

13 years ago | 0

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finding adequate matlab neural criterion function?
>i have a feed forward neural network that is simulating some kind of mathematic function, Curvefitting; not pattern recogni...

13 years ago | 0

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[Matlab - Time series tool] How to read IE cross-correlation
If a net accurately models all of the salient deterministic characteristics of an input-output relationship, the error will not ...

13 years ago | 0

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how do i use conditional training in neural network
I think you are confused. The common Feedforward Multilayer Perceptron either implements regression/curvefitting (fitnet) or ...

13 years ago | 0

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Answered
How to interpret an answer given by the Neural Network
Q1. How to interpret those results? What should I understand from them? That the median price for neighborhood 1 should be or wi...

13 years ago | 0

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How to use a custom transfer function in neural net training
I cannot understand why you think y2 is better than y1 x = -6:0.1:6; y1 = x./(0.25+abs(x)); y2 = x.*(1 - (0.52*abs(x/2.6))) %...

13 years ago | 0

Question

How to set Sort by: "Date updated (Newest-Oldest)" as a default
Every time I search I get Sort by: "Relevance" as a default It's bugging me. Greg

13 years ago | 2 answers | 2

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answers

Answered
Compare two vectors for similarity
S = sum(A-B) is NOT a useful function for quantifying similarity because positive and negative terms will cancel. The most co...

13 years ago | 14

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Check elements of matrix
Matrices can be compared using <, =, or > only if they have the same dimensions or at least one is a scalar. Note that X <...

13 years ago | 0

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how to calculate the output error for feedforwardnet?
For classification of c classes, the target columns should be columns of the c-dimensional unit matrix. class = vec2ind(targe...

13 years ago | 0

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Answered
Fibonacci with Neural Network
A neural net is unnecessary:: F(n) = ( ( 1 + sqrt(5 ))/2 )^n - (( 1 - sqrt(5))/2 )^n ) / sqrt(5) http://en.wikipedia.o...

13 years ago | 1

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Answered
Fibonacci with Neural Network
help narnet doc narnet Hope this helps. Thank you for formally accepting my answer. Greg

13 years ago | 0

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i have a data set of 9X120. want to use feedforwardnet and want to know how to define dataset such as simplefit_data
>> [x,t] = simplefit_dataset; [I N ] = size(x) % [ 1 94 ] [O N ] = size(t) % [ 1 94 ] % Instead of feedforwardnet, u...

13 years ago | 0

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Answered
Help with plotting Neural Network training / testing results
[I N ] = size(p) [ O N ] = size(t) What are your values??? Are you using fitnet for regression or patternet for classif...

13 years ago | 0

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taraining error when neural network training is done .each time training isd one the results are different
Training performance varies because the default train/val/test data division AND initial weights are pseudorandom. One of man...

13 years ago | 0

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Answered
Neural Network to predict temperature profile
The NNTBX default technique for regression using FITNET or FEEDFORWARDNET, is to use 70% of the data for estimating weights, 15%...

13 years ago | 0

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How to change number of hidden layers with nprtool
I don't think the GUI allows multiple hidden layers. Typically, that is not important because a single hidden layer with enou...

13 years ago | 1

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Why does training perfomance change when a validation set is considered?
The difference in the last two results was completely caused by using 1) ... = train(net,input(:,1:8),output(:,1:8)); in...

13 years ago | 0

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Answered
why we have two performance number in neural netwrok in nntraintool one inside the box and the other outside the box ?
What 2 numbers? Where are they displayed? Performance typically means mean-square-error. If MSE is normalized by the averag...

13 years ago | 2

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Answered
How can i change performFcn of neural network training?
>> net = feedforwardnet(20); >> net.performFcn='msereg'; >> net.performFcn ans = msereg 1. Don't know what caused...

13 years ago | 2

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Answered
how to built neural network for this problem using gui or code
You only need 1 hidden layer. Therefore, I assume you mean H = 2 hidden nodes in that hidden layer. For an I-H-O feedforward net...

13 years ago | 0

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Answered
Is it Possible to extract Regression equation of the Regression Plots in Neural Network Toolbar
i am surprised and confused by your last setence. The regression equation associated with the training function is output vs ...

13 years ago | 0

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Is it Possible to extract Regression equation of the Regression Plots in Neural Network Toolbar
help regression doc regression type regression should suffice. However, can also look at help plotregression doc ...

13 years ago | 0

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Neural network performance problem
Neural network performance problem Asked by Daud on 16 Nov 2012 at 16:09 % I am doing a speech recognition project to cla...

13 years ago | 0

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Matlab M-file codes for neural network training for sinusoidal wave using feedforward backpropagation technique.
The code is straightforward. See the documentation example for fitnet. Hope this helps. Greg

13 years ago | 0

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univariate time series prediction with neural network
If you differenced the original series to reduce nonstationarity, did you check the new series for stationarity? You may have to...

13 years ago | 0

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Is there a way to save a trained neural network for future use after the current run ends?
save net01 When you need it later load net01 Voila!

13 years ago | 1

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Is calling train with 20 epochs of learning the same as 20 calls to train with 1 epoch of learning?
I've been successful achieving the same weights with continuous training vs interupted training with net.trainParam.epochs = 1 ...

13 years ago | 0

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Can a user-defined function be called after weight/bias updates during training?
In a recent post originated by Jason, I've shown that interrupted training using net.trainParam.epochs = 1 without a validation ...

13 years ago | 0

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Answered
Prediction of a time series
Think in terms of y(t) = f(y(t-12), y(t-13), ... x(t-9), x(t-10), ...); Hope this helps. Thank you for formally accepti...

13 years ago | 0

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