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How to give input for back propagation program using ANN? Can we give a matrix of some values? And how do we specify hidden layers like on which basis we have to choose number of hidden layers?
patternnet is a universal approximator. 1. Start with the examples in help patternnet doc patternnet 2. See some of...

11 years ago | 1

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Answered
What functions is the patternnet for the hidden layer and output layers?
1. Do not use xor as the name of a variable. It is the name of a function help xor doc xor 2. input = [0 0;...

11 years ago | 1

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Answered
self-organizing map plotting help
>> szout = size(outputs) % [ 100 8 ] uniqueout = unique(outputs) % [ 0 1 ] szout = 100 8 unique...

11 years ago | 1

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Target data ? Neural Network prediction
Get target values. I assume you are not trying to predict class membership of input vectors (classification/pattern-recogniti...

11 years ago | 1

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Why scaling data inside [-1,1] ?
The purpose of normalization is to keep inputs to transfer functions as close to the middle of the so called 'active region' as ...

11 years ago | 1

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Manual Calculation of Neural Networks
If the classes are not mutually exclusive (e.g., tall, dark, handsome) logsig is an appropriate output transfer function for app...

11 years ago | 1

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Manual Calculation of Neural Networks
Follow? Not exactly. However you can reproduce the results. For FITNET, yn = b2+ LW * tanh( b1 + IW * xn ); where xn...

11 years ago | 1

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Question about "newp" function in neural network toolbox
net = newp([-2 2;-2 +2],1); The square -2 <= x1 <= 2 , -2 <= x2 <= 2 is defined as the region where the output is supposed to...

11 years ago | 2

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Question about "newp" function in neural network toolbox
>> help newp newp Create a perceptron. Obsoleted in R2010b NNET 7.0. Last used in R2010a NNET 6.0.4. I suggest you ...

11 years ago | 1

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Neural Network error weights to reduce false positive
The classic approach to pattern recognition is to minimize Bayesian risk which, for c classes, is a double sum over classes of p...

11 years ago | 1

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optimal hidden nodes number
Neither is always the right one. There are many ways to choose a value that works. I typically start searching with ~10 values i...

11 years ago | 2

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Selection of input data set for artificial neural network
The general regression scenario is you want a deterministic multivariate function that yields an O-dimensional output vector giv...

11 years ago | 1

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Question

How can I reverse the case of a selected string?
vERY OFTEN i FIND THAT i ACCIDENTLY HAVE THE CAPS LOCK ON. iS THERE ANY WAY TO EASILY REVERSE THE CASE OF A SELECTED STRING? ...

11 years ago | 1 answer | 0

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I want to classify the mammogram using BNN (Bayesian Neural Network) classifier....Any steps of bnn classifier..
If you want to change to something that is good and relatively easier, use patternnet to estimate posterior probabilities. S...

11 years ago | 1

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RBF NN using newrb for prediction one target "output vector" from many inputs factors " 15 vectors"
Search the NEWSGROUP and ANSWERS using greg newrb Concentrate on the ones used for classification and pattern-recognition...

11 years ago | 1

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Answered
manipulating matrix for outlier detection
The best way to detect outliers 1. Standardize the data to zero-mean/unit variance 2. Plot 3. Find outliers where abs(x...

11 years ago | 1

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load forecasting using NARNET
You do not have enough data (N=11) to do anything useful. Use one or more of the MATLAB example data sets help nndatasets ...

11 years ago | 0

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How to find cross-correlation (delay) for NARX model
There are many examples. Search the NEWSGROUP and ANSWERS using greg nncorr Search backward starting with the most recent...

11 years ago | 1

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divide function in trainbr train function
The TRAINBR code covering indexing and ratios is BUGGY. I couldn't figure it out when I looked at it back in June 2013. Now t...

11 years ago | 0

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How to know what initial weights and biases were used by 'train' function?
1. Reset the random-number generator and weights (ideally zero) to the state that existed at the call of train 2. Set the tra...

11 years ago | 0

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Answered
how to use neural network as fitness function for GA?
I have never heard of using a neural network as a fitness function. This wording implies that the network is fully trained and i...

11 years ago | 1

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NARX network cannot learn identity relation
For meaningful examples, always use the MATLAB EXAMPLE DATA obtained from help nndatasets doc nndatasets Your example i...

11 years ago | 1

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Compare trainlm with early stopping and trainbr generalization
There is no reason for TRAINBR to exclude validation subset stopping! There is published proof that using both is superior for...

11 years ago | 1

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How to disable batch mode neural network learning?
help adapt doc adapt Search the NEWSGROUP and ANSWERS using greg adapt Hope this helps. *Thank you for for...

11 years ago | 1

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Change in fitness function
Faulty notation. Typical usage is input x, target t, output y . See the documentation examples for the regression/curve-fitting ...

11 years ago | 2

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Nural network Simple Fitting Problem has "not enough input argument" massage
You probably have to transpose the input and target matrices. For N examples of I-dimensional inputs and corresponding O-dimensi...

11 years ago | 1

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It is my first time with neural network Kohonen.
Kohonen is not appropriate for time series prediction. If you have input and target series help narxnet doc narxnet ...

11 years ago | 1

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Speech recognition with neural network pre proccessing problem
Insufficient quantitative detail. It seems to be a classification/pattern-recognition problem with 10 classes/categories. The...

11 years ago | 1

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Neural Network train/val/test
I suggest using the defaults. See help patternnet doc patternnet

11 years ago | 1

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How to choose the appropriate trained NN?
Doesn't make sense to average error rates in order to choose the best design. Obtain multiple designs(e.g., ~100: ~10 for eac...

11 years ago | 1

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