Answered
How to set patternnet to get the posterior probabilty sum to unity?
help nndataset % Choose classification/pattern-recognition data with 2 classes close all, clear all, clc for k=1:4 if ...

11 years ago | 0

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Answered
Neural Network Input Scaling
The best way to optimize training is to 1. Make sure outliers are removed or modified (I standardize using zscore for this, ...

11 years ago | 1

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Answered
Matlab Neural Network Sim function configuration
If size(L1) = [ 129 153 ] and similarly for L2, L3 and L4: input = [ L1(:)' ; L2(:)' ; L3(:)' ; L4(:)' ]; output = net(i...

11 years ago | 2

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Matlab Neural Network Sim function configuration
You have to convert the A3D(129x153x4) into A2D(4x(129*153)) Currently, I do not know how to do this. I tried using the func...

11 years ago | 2

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Answered
Forecasting using neural networks
You should have mentioned timeseries and/or narxnet in your question. Try searching the NEWSGROUP and ANSWERS using greg nar...

11 years ago | 0

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Answered
Neural Net - Baseline classification above chance?
Changing Notation: If there are c classes with size Ni (i=1:c), N = sum(i=1,c){Ni}, then the a priori probabilities are Pi = Ni/...

11 years ago | 2

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Answered
Neural network weight and bias initializaiton problem
net = patternnet(10); net.inputs{1}.processFcns = {}; net.outputs{2}.processFcns = {}; net ...

11 years ago | 1

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Answered
Neural Network neuron values
close all, clear all, clc [x,t] = crab_dataset; [ I N ] = size(x) % [ 6 200 ] [O N] = size(t) % [ 2 200 ] xt ...

11 years ago | 0

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Scaled Conjugate Gradient - NN toolbox
Your description is incorrect and confusing. [I N ] = size(input) % = ? [ O N ] = size(target) % = ? Ntrn = ? ...

11 years ago | 0

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Creating neural network using the toolbox
You have to go to the documentation section on custom networks.

11 years ago | 0

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Answered
Understanding of the function 'dist'
To try to understand any function, first use the commands help, doc and type help dist doc dist type dist Then ex...

11 years ago | 0

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Noisy results from Neural Network
Try preprocessing with a lowpass filter. The cheapest one I can think of is x(i) = mean([x0(i-1),x0(i),x0(i+1)]) % 3-poi...

11 years ago | 2

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Answered
Crossvalidation of liinear models?
help crossval, doc crossval help cvpartition, doc cvpartition Hope this helps *Thank you for formally accepting my answ...

11 years ago | 1

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Answered
Merit of feeding Neural Networks data on the certainty of input/output relationship
In general (revise as you please and correct the coding errors) 0. Standardize data with zscore and discard or modify outlie...

11 years ago | 2

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Merit of feeding Neural Networks data on the certainty of input/output relationship
I have had tremendous success with this simple approach: Add varying amounts of random noise to the original inputs but keep ...

11 years ago | 2

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Answered
Future Load Prediction with Neural Network Time Series Prediction
load data: What does that mean? load of what? day type: what does that mean? hot/warm/cold? windy/rainy/snowy? ; If you h...

11 years ago | 0

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Answered
Neural network with two objective functions
The only way I have ever designed a successful stock market predictor was to use fractional increases in price (or return?) as t...

11 years ago | 0

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How to save neural network in matlab??
To "run" a net means to use a saved net. There is no reason why a saved net will yield different results when it is repeatedly r...

11 years ago | 2

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Get derivatives of neural network?
A good nnet will yield acceptible estimates of the function for which it is trained. Therefore use target = [ f ; g ] wh...

11 years ago | 0

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NEURAL NETWORK Generalization Problems: 95% Good Prediction, 5% Bad Prediction
I don't understand the need for daily creations. Just create a net for each database and store it. Overfitting is easily h...

11 years ago | 0

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MATLAB neural networks interpretation
view(net) is the only command I am familiar with.

11 years ago | 0

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Neural network inputs; multiple vs. single neural networks
There are several basic types of neural nets on which to concentrate. All are well described in the MATLAB documentation: 1. ...

11 years ago | 0

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Neural Network neuron values
1. THE BASIC PROBLEM IS THE DOCUMENTATION Neither help patternnet nor doc patternnet indicate that >> outputlayertransfer...

11 years ago | 0

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Neural Network neuron values
0. [ I N ] = size(input) (I=6), [ O N ] = size(output) (O = 2), 1) Use mapminmax to obtain 6xN dimensional normalized (-...

11 years ago | 0

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Answered
How to save neural network in matlab??
save(net) % retrieve using load(net) Hope this helps *Thank you for formally accepting my answer* Greg

11 years ago | 2

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Improving NARX network results
One hidden layer is sufficient net = narxnet(ID,FD,H) For details, search using greg narxnet and greg narx ...

11 years ago | 1

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Create neural networks for ph neutraliztion model.
If this is a classifier use patternnet. help patternnet, doc patternnet If this is for regression, use fitnet. help...

11 years ago | 0

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Answered
please how can build the following neural networks by matlab......I need solve
1. help narnet; doc narnet; %Also search in the NEWSGROUP and ANSWERS 2. help narxnet; doc narxnet; %Also search in the NE...

11 years ago | 0

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Answered
newbie: How to use neural pattern recognition to create a base signal and recognizing signal.(having very little matlab experience)
1. Use PCA to reduce the dimensionality 2. Use k-means with k=6 to separate the data into 6 classes. 3. There are many ways...

11 years ago | 0

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Answered
newbie: How to use neural pattern recognition to create a base signal and recognizing signal.(having very little matlab experience)
33 examples span, at most, a 32-dimensional subspace. Therefore you should try to reduce the dimensionality of the examples. ...

11 years ago | 1