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How to create training data set for signature verification?
[ 7 120 ] = size(input) [ 12 120 ] = size(target) target columns are columns of eye(12) Hope this helps *Thank yo...

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How to use Neural Network Error as a Feedback Input
THAT IS WHAT HAPPENS AUTOMATICALLY WHEN YOU TRAIN THE NET ! SEE THE FIGURE net = train(net,x,t) figure Hope this helps...

casi 8 años hace | 0

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I have some training data and some test data. Can anyone tell me is training data is the input data or it is desired data in wavelet neural network?
Correct notation: x input t target = desired output y output = net(x) e error = t - y % Reference output and MeanS...

casi 8 años hace | 0

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How to aviod creating a fully connected neural network in matlab?
The answer to your question is : Yes it is possible to do. HOWEVER, there is no MATLAB function available for doing so. ...

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What drives the memory usage in the Neural Network Toolbox?
N0 =158 samples define AT MOST, a N = 157-dimensional space. Therefore, if this is serious work and you have no more data,...

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How neural network output is calculated ?
If your outputs are constrained to [ 0, 1 ] use SOFTMAX If your outputs are constrained to [ -1, 1 ] use TANH Otherwise us...

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I have some training data and some test data. Can anyone tell me is training data is the input data or it is desired data in wavelet neural network?
Your description should be reformatted to prevent confusion. data = design + test design = training + validation dat...

casi 8 años hace | 0

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How to aviod creating a fully connected neural network in matlab?
The neural net for regression and curvefitting is FITNET (special case of feedforwardnet). For details see the documentation ...

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neural network based classification -signal processing
The correct function for neural network classification and pattern recognition is PATTERNNET. See the documentation via help...

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How neural network output is calculated ?
When you calculate the output of a net you have to take into account that values in the calculations are scaled, by default,...

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The Understanding of the process of (Multi-step Forecasting using "NARX")
NARXNET requires an input. If you do not have a future input you can do the following 1. DESIGN 2 NARNETS: one for input and...

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Neural Network initialization?
MATLAB will automatically initialize unweighted nets before training. MATLAB will continue to train a preweighted net Ther...

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Can I use parameters of different network training functions with each other?
You can answer your own question via trial and error. Greg

alrededor de 8 años hace | 0

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How I can use rand('seed', ??) for neural network model?
Read the documentation in help rand and doc rand Hope this helps. *Thank you for formally accepting my answer*...

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How to use sigmoidal function in neural network?
In general 1. Transform inputs to [-1,1] 2. For regression/curvefitting a. Transform targets to [-1,1] b. Use th...

alrededor de 8 años hace | 0

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Neural network accuracy improves on retraining without weight reinitialisation
A net with former weights will continue training from those weights. If you wish to reinitialize to get an alternate design u...

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Neural network: train() behavior with earlier results
"Need to process" doesn't provide useful information. What are you trying to design? Curvefitter/Regressor? PatternRecognizer...

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Optimal hidden nodes number
BASIC MATLAB NN DESIGN ASSUMPTIONS The summary statistics of the Training, Validation and Test subsets are sat...

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Optimal hidden nodes number
I have posted hundreds of examples in both the NEWSGROUP (comp.soft-sys.matlab) and ANSWERS that determine the optimal number of...

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Understand number of weights of Neural Network
You are THOROUGHLY CONFUSED! You do not understand MANY fundamental concepts. 1. [ trainednet, trainingrecord] = ...

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Is it possible to change some properties of only a subset of units (neurons) in a hidden layer?
The best way to pursue this is to have multiple hidden layers IN PARALLEL, each connected between the input and output layers bu...

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how can i predict one week later(multistep prediction), this code just predicts one step in the future please make my code right(it's about wind speed prediction with 3 input parameter(pressure, humidity, temperature) and one target(wind speed)
Insuficient info; HOW LONG IS ONE DELAY ... 1 second? 1 minute? 1 hour? 1 day?... although you can recursively predict ...

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How to implement cross validation in neural network for time series prediction
If you have to maintain the original spacing, one way to use f-fold XVAL in time series is illustrated below for f = 10 1. D...

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Train neural network on a single image set?
If you do not train with alternative inputs you will probably have too many false positives. Hope this helps *Thank you fo...

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How to get the percentage of image matching in neural network?
You train a net with inputs and corresponding targets. Now you want to know what to do if you use something different as an i...

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How to do incremental training using 2 batches of dataset, where the tool is anything except neural network
The new training will override the old. Therefore you have to either a. Add the old training set to the new one or b. ...

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Is it okay to use this code for trained network forecasting in NARX?
If you want to forecast, use DIVIDEBLOCK. otherwise YOU ARE JUST INTERPOLATING, *Thank you for formally accepting my an...

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how to predict from a trained neural network ?
1. Your code should yield an error because you have not defined y. here are two ways to define output y, error e and normaliz...

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Help with isnan with two matrices of unequal dimensions
Separate the 2 searches. Hope this helps *Thank you for formally accepting my answer* Greg

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could anyboby help me to solve the error
i is undefined However if i were defined U(i) would probably be incorrect because U is 2 dimensional. You probably have to...

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