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Flatten and unflatten a neural network
help getwb doc getwb help setwb doc setwb Hope this helps. *Thank you for formally accepting ...

8 years ago | 1

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Employing SOM after PCA
1. PCA ranks principal components, not original variables. So, did you deduce 3 variables from the 3 principal components? 2....

8 years ago | 0

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How to interpret the outputs of patternnet?
You are confused (;>). 1. The original data set is divided into trn/val/tst subsets and yields 4 confusion matrices. 2. ...

8 years ago | 0

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How is the layer weights matrix (IW.{i,j}) arranged when a connection has delays?
I see no reason why it can't treat delayed signals like ordinary inputs. Whether MATLAB does that or not, maybe a different s...

8 years ago | 0

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Poor performance on Close-loop Narnet
From help nndatabase and doc nndatabase You will find a list of MATLAB data sets you can use to practice with I h...

8 years ago | 0

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How to read result of sim using Patternnet ?
For two class classifiers with scalar 0/1 targets 1. Use LOGSIG as the output function 2. The output class index ...

8 years ago | 0

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Neural network training Maximum mu reached
Reaching maximum mu is not a sign of convergence It is a sign that the training should be stopped because additional training...

8 years ago | 0

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After training (nftool) a Neural network using the neural network toolbox, how do I test the trained network with new input data that doesn't have any target values?
output = sim(net,input); % = net(input) If you have no target, the only way to test it is to plot the output and look at it...

8 years ago | 0

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neural network trained using partical swarm optimization
You should have [ I N ] = size(input) = [ 7 150] [ O N ] = size(target) = [ 3 150 ] Hope this helps. *Thank you for ...

8 years ago | 0

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Iteration determine in Self-Organizing Map to Cluster Data
Type, without ending semicolon net = net then all properties will be displayed. Chose the one that corresponds to iter...

8 years ago | 0

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sim function of the neuralnetwork
1. You didn't specify if this is a. regression/curve-fitting (FITNET OR NEWFIT) or b. classification/pattern-recogn...

8 years ago | 0

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Binary Classification _ problem with data structure
There might be a caveat in the confusion matrix code that only accepts {0,1} 1-d outputs. check it out. Greg

8 years ago | 0

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Why do i have NAN values in the confusion matrix only in the validation test?
MATLAB doesn't allow a validation set for trainbr because they think it isn't necessary for generalization. Although they are...

8 years ago | 0

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sim function of the neuralnetwork
No. The net automatically normalizes the input with mapminmax and denormalizes the output with the inverse. Hope this h...

8 years ago | 0

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Artificial Neural Network - Equations?
The equation for a single hidden layer is yn = B1 + LW * tanh( B2 + IW*) *xn where xn and tn are normalized to [-1,1]. ...

8 years ago | 0

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How to normalize new inputs with mapminmax ?
You do not HAVE to normalize anything because the neural net AUTOMATICALLY normalizes input and target to [-1,1]. HOWEVER, I...

8 years ago | 1

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How to use an already trained neural network NAR for future time series prediction?
Search for my posts in both the NEWSGROUP and ANSWERS greg narnet Hope this elps. Greg

8 years ago | 0

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How to choose number of hidden layers
For 3 inputs and 1 output you only need 1 hidden layer. Minimize the number of hidden nodes subject to the maximum training...

8 years ago | 1

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bad results of my neural network _ newsgroup
1. You did not define net = patternnet 2. Even though it is a classifier, just try to minimize H subject to the constraint ...

8 years ago | 0

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How to do when the inputs ranges for neural network are not so uniform in magnitude ?
Typically, MAPMINMAX only fails when outliers are present. Try MAPSTD to identify and modify (or delete?) outliers Hope th...

8 years ago | 0

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How do i fix my neuronal network
1. Since training functions transform inputs into the interval [-1 1], the hidden node functions should be odd, AND non-linear. ...

8 years ago | 0

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Error index exceeds matrix dimensions why? Matlab 2016a
The Support group example is only for single inputs. See my version for multiple inputs. Hope this helps *Thank you for...

8 years ago | 0

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How can I improve my neural network further?
1. Start with the documentation example 2. Explicitly calculate the input and target sizes 3. Remove all default assignment...

8 years ago | 0

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Nonlinear regression + Cross Validation = possible?
I am surprised to hear that SS thinks that cross validation is not used for regression. Maybe it is just a misunderstanding o...

8 years ago | 1

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Self-Organising Map (SOM) with Principle Component Analysis (PCA)
It is not clear if you have a well defined output. If so, it IS NOT the variation of the inputs that are paramount. It IS ...

8 years ago | 0

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How can I optimize data with no equations
Suggestions 1. Standardize each variable to have zero mean and unit variance 2. If the data is not naturally ordered, the...

8 years ago | 0

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How can I use the Genetic Algorithm (GA) to train a Neural Network in Neural Network Toolbox?
>Let us clear some point out of Logic used GA for Updating Weight of NN >Previously we have studied that weight keeps on updati...

8 years ago | 0

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Fitted Parameters & Mathematical Equation for ANN and ANFIS
MULTILAYER PERCEPTRON (MLP) [ I N ] = size(input) [ O N ] = size(target) [ O N ] = size(output) Ntrn = N-...

8 years ago | 0

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Create custom NARX net
See the documentation examples help narxnet doc narxnet The only significant difference between your design and the d...

8 years ago | 0

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How do I find the prediction bounds of a nonlinear curve?
Plot 1. The residuals 2. The residuals +/- m*stdv Hope this helps. Greg

8 years ago | 0

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