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Should modify the number of layers to make multi-step closed loop NarX
A single hidden layer is sufficient. Use the autocorrelation function of the target and the crosscorrelation function of the ...

13 years ago | 0

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data preparation and format for NARX
I don't think your approach will work anywhere near as well as one that defines a trend in terms of a positive or negative slo...

13 years ago | 0

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How are the input weights organized in a nonlinear autoregressive networks with an external input (narxnet)?
close all, clear all, clc; net = narxnet(10:15,10:15,10) % Removed semicolon % net.numInputs = 2 ...

13 years ago | 0

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Answered
How are the input weights organized in a nonlinear autoregressive networks with an external input (narxnet)?
ID = 10:15; LID = length(ID) % 6 FD = 10:15; LFD = length(FD) % 6 H = 10 isequal( Xi , ...

13 years ago | 0

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How are the input weights organized in a nonlinear autoregressive networks with an external input (narxnet)?
% net = narxnet(10:15,10:15,10) Why are the input and feedback delayed by 10 to 15 (6) timesteps? Are you trying to predic...

13 years ago | 0

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how can i use principal component analysis for reduce the data point in signal
PCA is used to reduce the dimensionality of the data, not reduce the number of points. Hope this helps. Thank you for fo...

13 years ago | 0

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Answered
How to create a Target data ? Neural Network Tool
The target for 2-class classification has dimensions [1 N] (N=306) with values {0,1}. However, if the ratio of N1/N0 is not in t...

13 years ago | 1

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Answered
i have problem in ANN
This is not exceptional. NNets are good interpolators but very poor extrapolators. The basic assumption is that training d...

13 years ago | 0

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some nftool basics - data in, net config, and net save
You have 1 5-dimensional input and 1 1-dimensional output. Therefore the sizes of your input and target matrices should be [ ...

13 years ago | 0

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When change the Multi-dimentional input, how to show an offset on the output in neural network?
Pair each of your 32 voltage values with a corresponding irradiance value to get an input matrix of size [2 32]. The correspon...

13 years ago | 0

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Answered
generate random negative numbers
x = a + (b-a)*rand(m,n); Hope this helps. Thank you for formally accepting my answer. Greg

13 years ago | 2

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Taking DFT of Swept Sine Wave
Please do not use the acronym 'DFT' when you are using the 'FFT' close all,clear all, clc, plt = 0; N = 48 ...

13 years ago | 0

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Answered
Why is fmincon giving me a wrong answer depending on which initial feasible point I am using?
Since the problem is only 2-dimensional, you can start by plotting the four separate contour plots of f, C1, C2 and C3. Then the...

13 years ago | 1

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Neural network for multiple input and multi output (MIMO) systems
The typical NN is a MIMO function and the typical NNTBX design uses I-dimensional inputs [ I N ] = size(input) and O-dimen...

13 years ago | 0

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neural network performance graph
MSE =0.008 means absolutely nothing untill it is normalized. The best normalization factor is the MSE you would obtain from a na...

13 years ago | 1

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Ensemble Neural Network in Matlab
I did not look closely at your code. However, I have several comments: 1. If you are going to post data and/or code, make sur...

13 years ago | 0

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Recognize the direction of the pedestrian action (right, left, forward, backward, ect) using Neural Network
If you have N pairs of I dimensional inputs and N corresponding classification indices (e.g., 1:O with O = 4 for right, left, fo...

13 years ago | 0

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Answered
How to decide inputs and targets for neural networks for a signature verification system?
For an I-H-O = 15-H-20 classifier with N = 100 [ I N ] = size(input) [ O N ] = size(target) Columns of target are colum...

13 years ago | 0

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How can I plot a neural network?
The only NNTBX display that is available is view(net) However, perhaps you can find something online. Hope this helps. ...

13 years ago | 0

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can we execute neural network in loop?
Yes. I typically loop over 1. Number of hidden nodes (outer) 2. Number of trials for Random initial weights and random...

13 years ago | 0

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How do I improve my neural network performance?
You have not given enough information. Regression or classification? What sizes are the input and target matrices? Are ...

13 years ago | 3

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Do you have any special learning algorithm for binary inputs?
I have given a graciously lengthy answer to your questions in your Newsgroup Thread Subject: Neural Network with Binary Inpu...

13 years ago | 2

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Time series prediction using multiple series
Before blindly using ANY time series function, determine which delays are significant. [ O N ] = size(t); O = 1 [I N ] = s...

13 years ago | 1

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Answered
How do I give Images to neural network toolbox?
input = [image1(:),image2(:), ... image(N)]; class = [ 6, 8, ... 4 ]; target = ind2vec(class); Hope th...

13 years ago | 0

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NN validation and data partition
There is an important difference between validation and testing. In the ideal scenario: There is only 1 subset to be used ...

13 years ago | 0

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why is LinearModel.stepwise() so much slower than stepwisefit() ?
Stepwise involves human interaction. Thank you for formally accepting my answer. Greg

13 years ago | 0

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how can I write the sourcecode for fingerprint identification?
Your best bet is to use your search engine. Try searching Google Groups (esp. MALAB )before Google Web.

13 years ago | 0

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rectify error in kmeans
Reduce k by 1. Hope this helps. Thank you for formally accepting my answer. Greg

13 years ago | 0

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How can i calculate the signal to noise ratio of a signal without knowing signal or noise power?
If the noise is additive with the majority of the noise power outside of the frequency range of the signal, the signal can be es...

13 years ago | 1

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Answered
Warning: Imaginary parts of complex X and/or Y arguments ignored
That error message warns that you are trying to plot a complex function. Try whos to see which complex function you are tr...

13 years ago | 0