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The best Ann configuration
My favorite technique: 1. Accept all default parameters except for the number of hidden nodes, H. 2. Minimize H subject t...

más de 10 años hace | 2

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NARX prediction and generalization
I do not see the point: 1. Plots of x and y almost overlap Rsqtrn = 1 - mse(yTrain-xTrain)/var(yTrain,1) = 0.87053 Rsqt...

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why NARXNET is better than other methods for multistep ahead prediction
The only other function used for multistep ahead prediction is NARNET which only uses output feedback as an input. Since NARX...

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How to get neural net weight matrix
Use the commands lookfor, help, and doc on getwb and setwb Also search the NEWSGROUP and ANSWERS Hope this h...

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Pregunta

DESIGNING AN ELMAN NET PROJECT
A MATLAB Central Contributor Question Sent On:Feb 02/03/16 11:26 PM Hi Greg, I'm in a senior semester at university and...

más de 10 años hace | 1 respuesta | 0

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how to optimize neural network thyroid example using genetic algorithm?
Are you sure you want the complexity of 2 hidden layers? One is sufficient. How many input/target pairs? N = Input vec...

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When creating dataset ,I have a error ' All variables must have same number of rows'. Help me how to resolve this error
For each Input column of dimension I there has to be a corresponding Output target column of dimension O [ I N ] = size(inpu...

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data prediction using neural network
help narxnet doc narxnet additional examples to practice with help nndatasets doc nndatasets Search both the NEWS...

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Artificial neural network (ANN), trainlm, traingda trainbfg and trainrp
Here is a simple comparison of the 4 training functions on the dataset used in the fitnet and feedforwardnet documentation. ...

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How can I train a neural network manually choosing a specific set of initial weights and biases?
After net is trained the state of the rng is changed. Therefore the weight initialization of net2 is different. % help fit...

más de 10 años hace | 1

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Where is the problem in my neural network script? I cannot update the weights and biases after training.
train(net, 0.1, 1) You cannot train with a single point. You need input and target row vectors or matrices.

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Respondida
How can I train a neural network manually choosing a specific set of initial weights and biases?
If you want to reproduce initial weights, reinitialize the rng to the same state before using configure. If any non-zero weig...

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Respondida
i m working with JAFFE dataset.how to divide dataset into training and testing for neural network i m giving LBP feature of JAFFE images as a input.i have a code which divide 70% -30% ratio but how can i know that this 70% is for training,30%testing?
As the above code indicates, the default is 70/15/15 . To change it, just change the percentages in the above assignment stateme...

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Respondida
What is the MATLAB code for Cascade correlation neural networks?
Before you post questions, try the three commands lookfor, help and doc >> lookfor 'cascade correlation' cascade correl...

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Why is the testSet (size) equal to the dataSet after installing net.divideParam.testRatio to 15/100.
1. The random 70/15/15 split is a default. Therefore you don't have to specify anything to use it. The separate train/val/tes...

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How to select inputs for my neural network
1. Standardize inputs to zero-mean/unit-variance xn = zscore(x); You can rank inputs by replacing, one at a time, input ...

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how can i find the best ann architecture?
>why am i not using time series ann tools? because its to complicated, Ridiculous. 1. The help and doc documentation wi...

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I am working on ANN toolbox, but i m not getting idea as in what will be the input and what will be the target value???
If you have N input/target pairs for I-dimensional inputs to be classified into one of c-classes characterized by class indices ...

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Prediction with Narxnet without future inputs
You are correct. If you do not have future inputs you are in serious trouble. My approach is to design two additional NARNETS:...

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how to save and reuse a trained neural network
1.At what point in my code will i put save net Any time after training it and before deleting it. However, give it a uniqu...

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Data normalization in neural network
Solve the equation for data! Hope this helps. *Thank you for formally accepting my answer* Greg

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Artificial neural network (ANN), trainlm, traingda trainbfg and trainrp
The current NN function to use for regression is FITNET (a special case of FEEDFORWARDNET) it was created to replace ...

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What is the use of the target matrix and how do i create one?
The current neural network classification function is PATTERNNET (replacing the obsolete NEWPR). The syntax of the target matrix...

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effectiveness of input in neural net
I don't know how to be any clearer than that. So, why don't you submit your code and I can comment

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Respondida
Need help NARX Neural Network forecasting methodology. 1,6,12 hours / step ahead ???
Choose the number of lags from the number of significant lags in the input/target crosscorrelation function and the target autoc...

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radial basis neural network
help newrb doc newrb type newrb Separately search the NEWSGROUP and ANSWERS with greg newrb ( 148 NEWSGROUP hits ,...

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How can i make a closed loop NarxNet with feedback of predicted values?
"but once predicted, feedback them" That is exactly what narxnet does. The default values ID,FD = (1:2,1:2) yield 1. y(t...

más de 10 años hace | 1

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hi, i have trained my network and i have the weights of the networks and save them as excel sheet, now how i can use the these weights in new prediction problem ?
You can load the weights and recreate the net. Then for a new input, newoutput = net(newinput); Hope this helps. *Than...

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feed back neural networks
help narxnet doc narxnet Search the NEWSGROUP and ANSWERS with greg narxnet Hope this helps *Thank you for fo...

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Respondida
How can i make a closed loop NarxNet with feedback of predicted values?
If you find a way to feedback signals before they are created, CONTACT ME IMMEDIATELY!!! I'LL MAKE US BOTH VERY, VERY, W...

más de 10 años hace | 0