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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...

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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...

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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...

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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...

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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 ...

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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...

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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 ...

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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?)...

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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. ...

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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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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 ...

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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...

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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...

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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....

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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 ...

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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 ...

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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 ...

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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 ...

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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...

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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

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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 ...

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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...

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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...

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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...

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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...

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