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regarding Neural network toolbox
If you do this you will have to write your own code. An equivalent, but easier alternative might be to use skip layer connection...

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Determining the Time series prediction
GOOD QUESTION! My answer is TRIAL and ERROR The advice I usually give for starting the process is 1) Use dividebloc...

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Neural nw : Inputs and targets have different numbers of samples
Here is a simplified example using the NEWFF example in the help and doc documentation. I omitted # Using an inner for lo...

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How to apply PCA correctly?
http://www.mathworks.com/matlabcentral/answers/18439-pca-matrix-data-compression-help Hope this helps. *Thank you for form...

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Validation dataset for Probablistic Neural Network
NEWPNN is not used with a val set to prevent overtraining an overfit net. For info on designing with NEWPNN search previous p...

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How to create a dataset of my own to be used in nprtool (neural network toolbox) ?
For classification use patternnet with [ I N ] = size(input) % [ 9 50 ] [ O N ] = size(target) % [ 5 50 ] % Columns o...

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neural net toolbox: divideFcn = ''
In general you can specify 1. The type of data division 2. The trn/val/test ratios If you don't specify anything...

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Frage

Neural Network - Multi Step Ahead Prediction (PART 2)
I have quite a few comments on a recently edited post http://www.mathworks.com/matlabcentral/answers/14970-neural-network-mu...

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mnist classification using batch method
1. I don't think that anyone wants to wade through all of that code when you can just use MATLAB classification functions he...

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Indicating Classes' numbers and their effects on classification results in Neural network!
The correct syntax is to use the {0,1} column unit vectors of eye(3). If you use PATTERNNET with the default output function C...

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Does Matlab has relative square error available in Neural Network toolbox?
The relative (i.e., NORMALIZED) square error is the ratio of the mean-square-error of the model, MSE, to the mean-square-error o...

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Feature extraction for Neural Network
I'm sure there are many posted examples using that dataset. Search in both the the NEWSGROUP and ANSWERS. The single search w...

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How to define error weights in Neural Network?
Yes. However, I would scale the data so that the maximum weight is unity. Hope this helps. *Thank you for formally acce...

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Are there features that the input and target values should follow before training in a neural network?
You are creating a problem that doesn't exist. Pretraining standardization can be used to eliminate or modify outliers. Then...

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Is good to repeat the same sample in the training of the neural network?
Generally, it does not make it worse. Hope this helps. *Thank you for formally accepting my answer* Greg

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What is formula for finding to Number of Weights in Neural Nework with two Hidden Layers
Nw = (I+1)*H1 +(H1+1)*H2 +(H2+1)*O Hope this helps. Greg

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NARXNET to predict the time series
Your complete data set does not appear to be stationary (e.g., constant mean, variance and correlations. Divide the data into...

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why i use trainlm function i get out of memory error?
Insufficient information Type of data?: Regression/Curve-fitting or Classification/Pattern-Recognition? Dimensionality of ...

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Equation extraction in an Artificial Neural Network
There is no way to use data to determine the analytic form of particular function without prior information. For typical da...

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Neural Network in Matlab
For regression or curve-fitting see documentation and an example using help fitnet doc fitnet For classification or pat...

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Neural network where each input neuron has multiple dimensions and each output neuron has the same dimensions.
1. Hidden and output nodes are neurons. 2. Input nodes are not neurons. 3. Input and output vectors are columns, not rows. ...

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Neural Network - inverted pre-processing functions
Why are you wasting time on a question that you can answer yourself by simply running the example in help fitnet To bett...

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Is the mse of the testing set in the neural network computed simultaneously with the mse of the training and validation sets?
Yes. *Thank you for formally accepting my answer* Greg

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How to evaluate the neural network by adjusted r-squared?
Search the NEWSGROUP and ANSWERS using greg R2a Hope this helps. *Thank you for formally accepting my answer* Greg

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Newff vs patternet in my program
You are very confused. The current MLP functions are -FITNET for regression and curve-fitting -PATTERNNET for classificati...

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Neural network where each input neuron has multiple dimensions and each output neuron has the same dimensions.
What you are asking make no sense. N I-dimensional input column vectors and corresponding N O-dimensional output target column v...

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Plotperformance of several neural networks
plotperform only takes one tr as input. You can use plot. However, you have to provide the details yourself. To plot multi...

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target outputs in classification using neural networks
>I want to use the following codes that is developed for cost sensitive neural network. I would be appreciated if you could let ...

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How extract Precision, Recall and F-score values from PLOTROC () in Neural Network?
help roc doc roc type roc Hope this helps. *Thank you for formally accepting my answer* Greg

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Neural Network Classification Problem: Performance in nntraintool always constant
>I am trying to use the Neural Network Toolbox for a manufacturing related problem. I have 25 categorial input parameters and ro...

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