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GPU computing doesn't work with timedelaynet, inputDelays != 0:0
Currently the GPU implementation of training does not parallelize for single series. If you have a long series and can break it...
quasi 10 anni fa | 0
How can I extract the values of weights and biases after each training epoch?
Greg is right, the function to get weights outside of a training function is getwb. Within a training function it is slightly...
oltre 10 anni fa | 0
GPU training of neural network with parallel computing toolbox unreasonably slow, what am I missing?
Getting a speed up with a GPU requires a couple things: 1) The amount of time spent in gradient calculations (which happen on...
oltre 10 anni fa | 0
| accettato
When using GPU with neural net, I run out of shared memory per block; is there a way to handle?
I was able to reproduce your error. In MATLAB 13a the nndata2gpu array transformation is no longer required and if gpuArray is u...
oltre 12 anni fa | 0
Risolto
Column Removal
Remove the nth column from input matrix A and return the resulting matrix in output B. So if A = [1 2 3; 4 5 6]; and ...
circa 13 anni fa
Risolto
Find the sum of all the numbers of the input vector
Find the sum of all the numbers of the input vector x. Examples: Input x = [1 2 3 5] Output y is 11 Input x ...
circa 13 anni fa
Delays in the Neural Network Toolbox
Yes you are correct. The way you have set delays the network at each time step will be responsive to the current fuzzy time of ...
oltre 13 anni fa | 0
| accettato
Architecture of the neural network by nftool?
You have correctly understood how the main part of the neural network works, however, the inputs and outputs of the neural netwo...
oltre 13 anni fa | 0
| accettato
Disable Spacebar Command for Neural Network
You can turn off the training window (and therefore not have a stop button to accidentally trigger) with this command before cal...
circa 14 anni fa | 0
Combine parallel toolbox and neural network toolbox
Currently parallel computing can be used to train multiple networks on different MATLAB workers at the same time. This speeds u...
circa 14 anni fa | 0
Neural Nets for Classification
Yes, PATTERNNET is recommended for classification problems. TRAINLM is a good training function for most problems. For small...
circa 14 anni fa | 0
| accettato
Knowing the Weights in Matlab
The biases for each layer i are net.b{i}. So for a two layer network the biases are net.b{1} and net.b{2}. The weights to la...
circa 14 anni fa | 4
| accettato
Crossvalidation of Neural Networks
I am not sure I understand your question but perhaps this will help. If you want to divide your data set into a design set an...
circa 14 anni fa | 0
NARX perform additional tests on network: from GUI to code
To apply the network to new data after training do the following: inputSeries2 = { ... your new input series ... }; [inp...
circa 14 anni fa | 1
Unable to load trained network, maybe versionconflict
Unfortunately the R2010a version of the toolbox cannot support neural networks created with R2010b or later versions of the tool...
circa 14 anni fa | 0
Neural Network - Multi Step Ahead Prediction
Here is an example that may help. A NARX network is trained on series inputs X and targets T, then the simulation is picked up ...
circa 14 anni fa | 2
How to forecast with Neural Network?
You can convert the NARXNET from open-loop to closed-loop form to predict ahead any number of timesteps for which you have data ...
oltre 14 anni fa | 4
Different results by backpropagation algorithm using different MatLab versions (2008 and 2010)
First, I assume you are setting the random seed before running this code to try and reproduce exact results? Otherwise, every r...
oltre 14 anni fa | 0
| accettato
Self Organizing Maps
The prototype pattern for each neuron is its weight vector. To see all the neurons' weight vectors: net.IW Each row rep...
oltre 14 anni fa | 0
| accettato
how to use weights and thresholds from Neural Network toolbox
You need to first preprocess inputs, then post process outputs as follows: xx = [0:0.5:5] for i=1:length(net.inputs{1}.p...
oltre 14 anni fa | 0
How do I display the connection weights after each epoch for a perceptron network using MATLAB code?
The function PLOTWB displays weights and biases graphically. plotwb(net) You can attach this function to any network obj...
oltre 14 anni fa | 0
| accettato
Change preprocessing parameter in neural network
You can try this workaround: net = struct(net); net.inputs{1}.processParams{2}.ymin = 0.1; net = network(net);
oltre 14 anni fa | 0
| accettato
Plant model
The function GENSIM converts a neural network once it has been trained in MATLAB into an equivalent Simulink block diagram.
oltre 14 anni fa | 1
| accettato
Neural network performance function, weighted sse, and false alarms
Error weights can help you set which targets are most important to get correct, or equivalently, more costly to get wrong. Le...
oltre 14 anni fa | 1
How to use NNTOOL
If the input has 300 hundred elements, and the hidden layer has 50 neurons, then each of the 300 neurons will have a connection ...
oltre 14 anni fa | 0
