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need help with neural network
Many examples of code that computes and saves Ntrials values of MSE and R^2 (coefficient of determination) can be obtained by se...

14 years ago | 0

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adding noise 15 db
I don't know about your coding. However, I add Gaussian noise to a noise free signal, s0, as follows P0 = mean(s0.^2) SNR...

14 years ago | 1

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Equation that compute a Neural Network in Matlab
% VERY SORRY FOR THE ROTTEN FORMATING. THIS EDITOR SUCKS. Equation that compute a Neural Network in Matlab Gianvito asked ...

14 years ago | 0

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Normalizing data for neural networks
In general, if you decide to standardize or normalize, each ROW is treated SEPARATELY. If you do this, either use MAPSTD, MA...

14 years ago | 1

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Normalizing data for neural networks
The best combination to use for a MLP (e.g., NEWFF) with one or more hidden layers is 1. TANSIG hidden layer activation ...

14 years ago | 3

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Neural Networks Input Error
I suspect that your input and /or output matrices are transposed. For an I-H-O net the input and output matrices have the siz...

14 years ago | 0

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Neural Network will not "Learn"
>As part of a robotic project of main I want to creat a nueral network, >I have started with a simple target function y=2*x but...

14 years ago | 0

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Neural Network Classification
100 data points can define, at most, a 99-dimensional subspace. Therefore, a very important step is to reduce the dimensionali...

14 years ago | 0

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Curve pattern prediction - Interpolation (neural network)
I really cannot see that enough information is available to obtain a more complicated model than the time vaying equation y...

14 years ago | 0

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Neural Network Toolbox - Determine the range of outputs
Train and validate as usual using tansig or logsig for output activation units. However, in the test and operational modes...

14 years ago | 0

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help in training a nueral network
[ I N ] = size(p) % [1 4] [ O N ] = size(t) % [ 1 4] Neq = N*O % 4 No. of training equations Nw = (I+1)*...

14 years ago | 0

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testing a neural network program
[I Ntst] = size(ptst) % Test Input [O Ntst] = size(ttst) % Target % Naive constant model y00tst = repmat(mean(t...

14 years ago | 0

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Answered
classification
http://groups.google.com/group/comp.soft-sys.matlab/msg/1e4cc0229688dd7a http://groups.google.com/group/comp.soft-sys.matlab/...

14 years ago | 1

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backpropogation ,Multilayer perceptron,neural network
% function TrainingNet % load Feature.txt; %load the features % FeatureS = Feature'; %Convert to column array ...

14 years ago | 0

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power signal classification using radial basis neural network
If I forward the code, who gets the grade?... you or me? You can find quite a few examples of code by searching the newsgroup...

14 years ago | 0

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ANFIS- pre-processing inputs
If I understand your question correctly, the answer is yes. Hope this helps. Greg

14 years ago | 1

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Initialize weights and biases in a nureal network
The call to NEWFF automatically creates random initial weights via INITNW. Just remember to initialize RAND before the first cal...

14 years ago | 0

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Non-linear regression
You definitely do not want a high order polynomial for prediction. Check out Richard's references. Greg

14 years ago | 0

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neural network input .
...continued >3-net.performFcn='msereg'; net.performParam.ratio=0.5; Why MSEREG?? Why not use as many defaults as possib...

14 years ago | 0

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neural network input .
>1-i have these code with these input to my neural network , my question is how does the NN take the input ? Once the matr...

14 years ago | 0

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How to calculate accracy of neural network using ANN toolbox
Assuming N = Ndes + Ntst = Ntrn + Nval + Ntst and an I-H-O node topology, the best results for hard RW problems dep...

14 years ago | 1

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net reusing
Patternnet is selfinitializing. Therefore 1. Initialize the rand RNG 2. Create an outer loop over nH number of candidate v...

14 years ago | 1

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neural network poor performance
Find, H, the smallest number of hidden nodes that will yield a satifactory design by looping over nH candidate values and trying...

14 years ago | 1

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neural network: warm-start simulation
See my answer in the Newsgroup. Hope this helps. Greg

14 years ago | 0

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Every time the Neural Network Classification gives Different Accuracy
Why?? ... that is part of an effective design procedure! 1. Initialize the rand RNG. 2. Use an outer loop that specifies t...

14 years ago | 0

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what is the formula of r2 in the neural network toolbox ?ı cant find
It would be helpful if you gave up the formula. Greg

14 years ago | 0

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neural network input .
>i have these code with these input to my neural network , my question is how does the >NN take the input ? to be more clear ...

14 years ago | 0

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neural network input .
See comments, examples and sample code by searching tne newsgroup using heath newff close clear heath newff Neq Nw Ntrials...

14 years ago | 0

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Artificial Neural Network back propagation image classification
Your target matrix should contain columns of eye(5). Assign inputs to the class corresponding to the maximum output. You...

14 years ago | 0

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what is the formula of r2 in the neural network toolbox ?ı cant find
>ı find a formula that 1-ssresid/sstotal but it equal to 0,9771 Exactly how are you calculating ssresid and sstotal? >...

14 years ago | 0

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