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Neural Net: Saving Trained Net
If you do not use NARXNET you will have to add additional dimensions to the input matrix to accomodate the target delays. After ...

13 years ago | 1

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patternnet for classification to 5bit targets?
Yes you can use 5 bit binary coding. However, the training will be quite a bit(no pun intended) more difficult. There is no m...

13 years ago | 0

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Neural Network Output Problem
You should always run at least 10 trials for each candidate net. For example, if I am considering H = 0:2:20 hidden nodes, I tab...

13 years ago | 0

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Test data Neural Network
I assume target T is 1-dimensional. What is the size of the X matrix? Are X(i,:) and T stationary (e.g., are the ten 63 po...

13 years ago | 1

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univariate time series prediction with neural network
TIMEDELAYNET predicts future outputs from present and past inputs only NARNET predicts future outputs from past outputs only ...

13 years ago | 0

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Input format to the neural network
[ I N ] = size(input)= [ 20 50 ] [ O N ] = size(target)= [ 10 50 ] If you use PATTERNNET with it's default batch learning ...

13 years ago | 0

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Why it is diferent the result?
The answers will be the same, PROVIDED you take into account that the network automatically transforms the data to [-1,1] duri...

13 years ago | 1

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How to initialize target matrix of a Neural-Network ?
I assume you are using patternnet. Your N I-dimensional input vectors should be columns (not rows) of an IxN input matrix. ...

13 years ago | 0

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How to implement validation check using trainbr function in MATLAB 2010b?
Probably all of them. However, I recommend TRAINLM for regression/curvefitting with TRAINRP as a huge dataset alternative. ...

13 years ago | 1

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how to initialize the neural network to a set of weights ???
Unlike the older nets (e.g., newfit, newpr, newff,...), you cannot assign weights to the newer networks (e.g., fitnet, patternne...

13 years ago | 1

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Answered
How to compute the derivative of the neural network?
Differentiate to obtain dyi/dxn y = b2 + LW*h h = tanh(b1+IW*x) or, with tensor notation(i.e., summation over repeated ...

13 years ago | 2

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how to initialize the neural network to a set of weights ???
net = patternet; will default to H = 10 hidden nodes. For other values use net = patternnet(H); If size(input) = ...

13 years ago | 4

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How to use Principal Component Analysis to reduce feature space?
The ratio of 99.1 to sum(latent) indicates the proportion of the total variance contained in the first principal component. De...

13 years ago | 0

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Answered
How to store R-value and MSE value in workspace while using Neural Network
If you use the syntax [ net tr ] = train(net, x, t); Most of the important training info is in the structure tr. Type, wit...

13 years ago | 2

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Jacobian creation technique in Neural Network (NN)
I cannot access the current source code. >> help nntraining.perfs_jejj Copyright 2010 The MathWorks, Inc. TODO - if...

13 years ago | 0

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Why trainbr function in Matlab 2010b doesn't present any information about validation check in nntraintool window?
Validation Stopping and Regularization are alternative methods for mitigating the overtraining of an overfit network. (Others ar...

13 years ago | 0

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Answered
Neural Network Tool Box
% Neural Network Tool Box % Asked by Bashar Ali on 12 Oct 2012 at 18:14 % Latest activity Edited by Image Analyst on 12 ...

13 years ago | 0

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Index exceeds matrix dimensions?
> clear >format compact >load testinria3; >xn=x'; >yn=y; >noin=face; What are x, y, and face ?? What are th...

13 years ago | 0

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calculation of total parameters in neural network
1.Read the documentation. NEWRB doesn't work like any of the other nets. help newrb doc newrb a. Notice that the goal i...

14 years ago | 1

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How to incorperate graph as nerual network input?
The net reads matrix input only. For a MLP with I-H-O node topology the input and target formats are [ I N ] = size(input) ...

14 years ago | 0

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declare net of neural network in matlab
% declare net of neural network in matlab % Asked by Tulips on 10 Oct 2012 at 10:49 % hi, I'd assigned this variable in...

14 years ago | 0

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how to display or input the character '
>> z = ' '' ' z = '

14 years ago | 1

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while using som how to cluster the data into three clusters?
Kohonen's SOM algorithm is for UNSUPERVISED clustering. For supervised clustering he recommends his LVQ and LVQ2 algorithms N...

14 years ago | 1

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Neural Network for predictions. How to improve it
Neural Network for predictions. How to improve it Asked by Edo on 5 Oct 2012 at 8:18 Latest activity Answered by Edo abou...

14 years ago | 0

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How do you write a function that will sort a one-dimensional array using looping and conditionals without using the sort or sortrow commands?
Find minx = min(x) at index indmin x(indmax) = []; y1 = [ y1 minx ]; Hope this helps enough so that you will formally a...

14 years ago | 0

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How can I plot the plotperf() with training validation and testing data set on command line
It depends on what version you are using. help plotperf and doc plotperf yield Obsoleted in R2008b NNET 6.0. Last used in...

14 years ago | 0

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how to set the dimensions for a SOM map?
1. Plot the projection of the data on the dominant PCA plane to get a "good feel" for the data: a. lookfor 'principal compo...

14 years ago | 0

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Weights in Neural networks
The most common NN is the single hidden layer MLP (MultiLayer Perceptron). The I-H-O node topology is consistent with "I"nput ...

14 years ago | 1

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How can I use LDA (Linear or Fisher Discrimnant Analysis) with an hardwritten digits dataset (like MNIST or USPS)?
It may help to forget LDA for a while and directly create a linear classifier using the slash operator. For example, since your ...

14 years ago | 0

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How can I use LDA (Linear or Fisher Discrimnant Analysis) with an hardwritten digits dataset (like MNIST or USPS)?
You use the term HARDwritten. Do you mean HANDwritten? There are only 10 digits 0:9. Therefore, there are only 10 classes. ...

14 years ago | 0