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How could I do a Multi-step ahead Prediction without know the input serie validation.HELPPP
What data division function are you using? Training, Validation and Testing are three separate functions. In order to obtai...

13 years ago | 0

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Answered
Effective number of parameters in a neural network
TRAINBR automatically chooses the weighting ratio that multiplies the sum of squared weights that is added to the sum of squared...

13 years ago | 0

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LDA classifier problem in age classification
Learn PCA. QUICKLY. Use the help and doc commands >> lookfor pca processpca - Processes rows of matrix with principal com...

13 years ago | 0

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Prediction of the Sinus Function using Neural Networks
The rule of thumb for predicting a sinusoid function is (I think) that you have to train on at least 1.5 periods with at least 8...

13 years ago | 0

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Answered
NARX perform additional tests on network: from GUI to code
1. If the uniform time series spacing is to be preserved to prevent destroying correlations, the default data division function ...

13 years ago | 0

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Answered
how to do testing and training using feed forward neural network
Use patternnet, not feedforwardnet. The target matrix should be a row vector containg zeros and ones indicating the true class o...

13 years ago | 1

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Answered
Hello I need help with the command mapminmax, since I have configured my premnmx RNA with the comman d but I change it to mapminmax I could adjust the working command y= (ymax-ymin)*(x-xmin)/(xmax-xmin) + ymin; THANKS
There are two versions of NEWFF. Both are obsolete. What version of MATLAB and NNTBX are you using? Use the command ver ...

13 years ago | 0

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Answered
Maximum variable size is exceeded when training neural network
Reduce the number of input variables. 1.You could start by just randomly dividing the N = 1558 dimensional data into M (~10?)...

13 years ago | 0

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What is the best classifier for train the handwritten characters?
help patternnet Make sure your target matrix contains columns of the unit matrix eye(c) where c is the number of classes. ...

13 years ago | 0

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Neural Network Question regarding matrix regression
x=linspace(0,400,5); y=linspace(-10,10,11); X = repmat(x,1,11); Y = repmat(y,1,5); Z=(tanh((X+20).*(Y-2)/200)-1)*3...

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Making a Neural Network
1. NEWFF is obsolete . What version of MATLAB and NNTBX are you using? Type the command ver 2. You have made the soluti...

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Answered
What neural network architecture should I be using for matching dissimilar types of input data such as a crystal's sampled absorption sprectrum (30 channels) along with a parameter such as its conductivity and to match these to a general database.
Use patternnet for classification and pattern recognition. Practice first on one or more of the classification nndatasets ...

13 years ago | 0

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A DIFFICULT NEURAL NETWORK
A DIFFICULT NEURAL NETWORK Asked by laplace laplace on 28 Apr 2013 at 15:50 Latest activity by laplace laplace on 9 May 2...

13 years ago | 1

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How to train RBF in neural network?
Unfortunately, newrb does not allow you to specify initial configurations. If your initial data set is huge. You may just wan...

13 years ago | 1

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Neural nets, how to access wrongly classified instances?
Although your net probably has three layers of nodes, it is a 2-layer network because it only has 2 layers of weights....I know....

13 years ago | 0

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optimization method of radial basis neural network , newrb function
The code is given in type newrb Each epoch the worst performing vector is added to the hidden layer as a Gaussian transfer...

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Custom performance vectors for neural network training
% I've been reading in documentation that validation samples are used to measure network generalization; i.e found out how my ne...

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Problem in neural training, regression plot
1. plot t vs p before calling newff 2. [ I N ] = size(p) = ? 3. ] O N ] = size(t) = ? 4. Neq = N*O % How many training ...

13 years ago | 0

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Answered
How to train the neural network using RBF?
If you are using newrb, there is no separation between the creation and training phases. Therefore, once you create it, it tr...

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Neural Network Question regarding matrix regression
The net represents a nonlinear mapping from I-dimensional input vectors to O-dimensional output vectors. The sizes of the input ...

13 years ago | 0

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Confusion matrix neural network
Look at column one for class 1 targets There were 7 class 1 targets 6 were assigned correctly(GREEN) to output class 1 ...

13 years ago | 3

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Answered
Default parameters for net.trainParam and net.trainFcn - Neural Network Toolbox
[inputs,targets] = simplefit_dataset; whos net = newff(inputs,targets,5) % Name Size Bytes Class ...

13 years ago | 0

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How to solve out of memory error?
Of course pixels are lost when you reduce the size. I am not an expert in imagery, therefore I cannot confidently suggest anothe...

13 years ago | 0

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Re-implementing a Neural Network from matlabs Toolbox as an mfile
Search ANSWERS using tsettings Hope this helps. *Thank you for formally accepting my answer* Greg

13 years ago | 0

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implement the ANN-based classifier for three class of vehicles-train, bus and two wheeler
%1. select 150 rows (4-10)columns from the text and read,normalize and input the data for training. Then transpose to obtain ...

13 years ago | 0

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Answered
Neural Networks manipulation in k fold method
The simplest solution is y = mean( net1(x)+net2(x)+...netk(x)); Any effort to combine weights into one net has to take int...

13 years ago | 0

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Answered
How to match the input and target file during neural network testing in my own GUI Application?
Your targets should be columns of the 20-dimensional unit matrix. The row index of the "1" is the true class index. The relation...

13 years ago | 0

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how can i train an artificial neural network for about 1500 input-output pairs or patterns very easily using MATLAB?
1. Start with the simple example in the fitnet documentation. help fitnet doc fitnet 2. You may want to repeat the exa...

13 years ago | 0

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Bidirectional Associative Memory in Neural Network Toolbox
About 59,200 results (0.77 seconds) Google Bidirectional Associative Memory Matlab Code

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Matlab Neural Network program error
> The initialization is done by default by the initnw function so I did not get why we should use rng (0) and why we put it be...

13 years ago | 0