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Neural network 2D classification - class assigment.
Code your target matrix, t, with columns of the 4-dimensional unit matrix eye(4). For example: clear all, clc class =[rand...

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Image classification
Yes. Search the Newsgroup using image classification Hope this helps. Greg

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How to use image input with Neural Network?
If you have N images of size I =row*column, each image is columnized to form a column in the input matrix with size [I N ] =s...

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Satellite image classification using neural networks
Kohonen created SOM for visualization, not regression or classification. For classification he created LVQ and LVQ2. All thre...

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Algorithm for comparing Hand drawn alphabets and digits with printed standard alphabets and digits.
If you decide to use a feedforward neural network, use 62 output nodes to indicate the assigned class of the input. The target m...

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How take weight values for P nad N in a BPN network for face recognition
Normalization helps to prevent large signals from causing bounded activation functions in the first hidden layer ( like tansig a...

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Data classification with neural networks - how to improve existing network.
N0 = sample size c = number of classes (states) I = dimensionality of input vectors O = c = dimensionality of output v...

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Identification of NARX problem with death time between Inputs and Outputs
The code looks It looks reasonable if your assumption of the effective signal length is correct. Hope this helps. Greg

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multiple input/output problem in ANN
You can use NEWFF or NEWRB. The former is probably easier. I do not understand the last sentence because you are not using ...

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multiple input/output problem in ANN
Your notation is confusing. Conventional statistics terminology considers a sample as a subset of a population of multidimension...

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Forecasting product demand with neural nets
Search heath NEWFFTD for sample prediction code. I have not used NARX yet. Hope this helps. Greg

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writing mistake using GRNN or NEWFF?
This is a conditional classification problem. Use 4 outputs with LOGSIG or SOFTMAX output activation functions. The training t...

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How can cross validate neural networks
What previous question and answers? What is the dimensionality of your data? If you only have 18 samples, you probably can...

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SOM neural network help - for classifying data- yes, it can be done
Kohonen created SOM for visualization, not classification. He extended SOM to LVQ for the purposes of classification. Sinc...

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How to calculate accracy of neural network using ANN toolbox matlab
Number of classes c = ? Number of input/target examples per class Ni = ? % i= 1:c Dimensionality of input I = ? Dimen...

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Regarding the use of Neural network toolbox
Take a look at the Control System Toolbox documentation, examples and demos. Hope this helps. Greg

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Is it possible to solve a multi-input-multi-output control problem by using Matlab neural network toolbox
Should be straightforward if you have enough data so that the number of training equations, Neq, is significantly larger than th...

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SOM training/testing-sim-trainr
SOFM is not meant for classification. Therefore Kohonen extended it to LVQ (lvqnet). However, the MLP (newff, patternnet) and...

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how to get fix output for neural network?
RNG = random number generator ENSEMBLE = a combination of neural nets. Search the term in comp.ai.neural-nets and comp.so...

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how to preprocess dataset in neural network toolbox
[ I N ] = size(p) minp = repmat(min(p,[],2),1,N); maxp = repmat(max(p,[],2)',1,N); pn = (p-minp)./(maxp-minp); Hop...

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Help!!! Feature Extraction or SIgnal processing for spectrum waveform!!!
help patternnet doc patternet Hope this helps. Greg

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Neural Network Output
Typically, the inability to match net output with mathematical caalculations involves the default MAPMINMAX normalization. Ho...

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Inverse transformation for Sim
No. However, you can train another net that will take a target as input and estimate the original input. Obviously, the ...

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NN - optimization
Search the Newsgroup for heath newrb There are several posts discussing design strategies. If you start with the most...

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Neural Network
The technique you should use is called clustering. I would search the Newsgroup and documentaion using combinations of the sea...

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how to get fix output for neural network?
In general, weight initialization and data division involve random numbers. Therefore 1. Intialize the RNG to the same stat...

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MSE error
This is common behavior. The type of training that uses a validation set is called "Early Stopping" and "Stopped Training". ...

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Reproducing Result
In general, initial weights and trn/val/tst data division uses random number generation. Therefore, to obtain reproducible re...

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ANN
ANN : Malathy asked on 24 Feb 2012 at 7:49 My input array is -----SNIP My output array is -----SNIP I used Neu...

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different result is obtained for the same input using self-organizing map
Initialize the random number generator to the same intial state; otherwise the results will be different. Hope this helps. ...

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