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Neural network (fitnet) and data decomposition?
The training and test indices are given in tr. Type, without semicolon tr = tr to see what info is in tr. Hope this he...

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Regression equation in neural network
y = repmat(b2,O,N) + LW*tanh( repmat(b1,I,N) + IW*x ); Hope this helps. *Thank you for formally accepting my answer* ...

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how to save and reuse a trained neural network
save net ... ... load net Hope this helps. *Thank you for formally accepting my answer* Greg

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Classification error at each epoch
Classification error at each epoch Asked by alessandro on 19 Jan 2016 at 8:45 Latest activity Edited by alessandro on 19 Jan ...

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NARX net cannot predict nonlinear dynamical system
My Normalized OL and CL MSE results for the training data are NMSE = mse(error)/mean(var(target',1)) NMSEtrno = 2.7895e...

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Neural Network and Machine learning
1. Please format your code 2. Delete the 1st equation net = train(net,Input,Target); [net,tr] = train(net,Inpu...

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how to classify after doing PCA on the input data?
1. How may cases do you have for each class? 2. target vectors are 5-dimensional {0,1} column unit vectors. 3. Use PLS inst...

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perform function for neural network
Insufficient information. The performance functions associated with trainlm (default for fitnet), trainscg (default for pat...

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When can the found Neural network model be accepted ?
Your performance numbers are scale dependent. They should be normalized by the values that result if the model was so NAIVE that...

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How can i make a closed loop NarxNet with feedback of predicted values?
Read help narxnet doc narxnet See posted examples in both the NEWSGROUP and ANSWERS greg narxnet greg narxnet tut...

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How to form my target vector for neural network to classify eeg signal?
The target matrix for classifying N I-dimensional input vectors into c classes is a c X N matrix containing columns of the eye(c...

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How to train a neural network to 0.1 error rate?
1. Error rate cannot be used as a training function because it is discontinuous. 2. PATTERNNET, the current default classific...

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How we can define the number of expansion of first input by using trigonometric functional link artificial neural network?
From Fourier Series N = T/dt T = length of sample dt = sampling time Hope this helps. *Thank you for formally...

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Discrete Data Fitting using neural networks in matlab
Normalize mse(error) for error = output-target with the mean target variance. Then vart = mean(var(target',1)) NMSE = ...

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Neural Networks change the Target
The basic assumption is that all data can be considered to be random samples from the same input/output probability distribution...

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my prediction for multi step ahead prediction not giving good result as i expect (attached output as pdf)
net = narnet( 1:2, [] ); % default inputs GEH1: Error; H=[] means H=0, whereas the MATLAB default is H=10 T = tonndata(Y,...

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Neural Network how to change output threshold?
Target of a c-class classifier should have columns from the unit matrix eye(c) trueindices = [ 5 3 1 2 4 ] target = in...

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How to know the output in Neural Network Pattern Recognition?
For classification/pattern-recognition into c classes, the columns of the target matrix should be columns of the {0 1 } unit mat...

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Neural Network: fill missing data in time series
Not clear if X2 follows X or it is replacing X Assuming the latter [Xo2,Xoi2,Aoi2,To2] = preparets(neto,X2,{},T2); [Y2,...

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Neural Network: fill missing data in time series
Use netc in the next to last (preparets) statement . Hope this helps. *Thank you for formally accepting my answer* Greg...

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How can I denormalize the equation in Matlab automatically ?
No. If you are using MATLAB NN training functions, you don't have to do anything because the defaults are 1. Automatic n...

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What does MU in trainbr actually mean and can I EEG matrix data as inputs?
Before you post a question 1. Use the MATLAB commands lookfor, help, and doc 2. Check out Google and Wikipedia...

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whats this code all about?
It is a PATTERNNET classifier. However, H = 70 without validation data sounds fishy. Can't tell unless input and target matrix s...

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What are the best training functions for pattern classification and why?
The default for PATTERNNET is TRAINSCG. For the last X years or so I don't recall having to use anything else. Command line d...

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Train and Simulate Newff
It looks like this is a straightforward curve-fitting problem which will output z given the 2-D input [ x; y ]. With [-2:0.25:2]...

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time series classification with neural network
I just deleted my previous guess of patternnet because it is not clear what you are thinking the inputs should be; obviously the...

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how to write a neural network code for classification problem from scratch
Using the command line: help patternnet doc patternnet Search in the NEWSGROUP and ANSWERS greg patternnet Hope ...

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Viewing the ouput of a neural network
For classification into c classes, the target matrix columns should be {0,1} columns from the eye(c) matrix. The transformatio...

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Reproducibility in neural network
YIKES!!! You have entered the creepy world of (TRUMPETS PLEASE!) OVERTRAINING AN OVERFIT NET!!! You can ...

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neural network programming error.
clear all; clc rng('default') % Initialized the RNG a = rand(1,1000); b = rand(1,1000); c = rand(1,1000); y = a*2+...

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