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Problem determining the best performance weights
The message at the top of the chart is incorrect. Clearly, from the graph, the best val epoch is at epoch 35, a local minimum...

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how to initialize weights and train the networks
help fitnet doc fitnet Hope this hes. Greg

alrededor de 11 años hace | 0

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In neural network, how can I change the sigmoid activation function to a Gaussian one, How to modify the Matlab codes to achieve this?
net = fitnet; net.layers{1}.transferFcn = 'radbas'; Hope this helps. *Thank you for formally accepting my answer* Gr...

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Using deployed neural network
1. The significant correlation threshold is the 95% confidence threshold for the cumulative probability function of the absolute...

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How to apply the weights and biases of a network without the net function?
Insufficient information: What dynamic network? The output of none of the dynamic networks can be obtained using the simp...

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How I get normalized values for inputs and outputs in Neural Networks, please give me simple example or equation How do it?
mapminmax is the default scaling function. See the documentation help mapminmax doc mapminmax type mapminmax Hope thi...

alrededor de 11 años hace | 0

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I am making some experiments with mathlab neural network toolbox. Usually to train a neural network i give some training and test data and the net object takes care of dividing the data. However what i need to do is divide the data by myself and set
Use the help and doc commands on dividetrain dividerand divideind dividetint divideblock Hope this helps. Gre...

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Inverse fourier transform Imginary Components
Matlab discards nothing of the ifft.

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What commands do I use for using Time Series NARX Neural Networks for any random input?
From the documentation y = net(X, Xi, Ai). Therefore, you need to also know the corresponding initial input and output fee...

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How to give the fitness function for GA from ann model already developed?
What you are asking makes no sense. Given input/target pairings, a genetic algorithm can be used to optimize the weights and ...

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Contradiction with Wine Classification Example in Artificial Neural Network Tool(2014)
I don't know how you ended up with that configuration. However, it will work if you use vec2ind on the output to obtain the clas...

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Using deployed neural network
What physical entity does y represent? I doubt if x and y are significantly correlated. Check with nncorr or, better, a corre...

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how can use static feedforward neural network to predict futre observation
The generic NEWFF and special cases that call it (e.g., NEWFIT(regression/curvefitting) and NEWPR(Classification/pattern-recogni...

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Using saving points in NN after additional training data has been added?
I have had excellent success using RBFs that were continually updated over periods of years each time new data became available...

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NARXnet non-integer delays problem
% NARXnet non-integer delays problem % Asked by Olumide Oladoyin on 22 May 2015 at 13:09 % I have read quite a bit on th...

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Switching an existing batch trained NAR network to continuous incremental training with adapt?
If the new data is just a time extension of the old data, I recommend either 1. Use batch training on all of the data with t...

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Neural Network Classification: cost function, regularization parameter, availability of the hidden layers...
You cannot derive a cost function from a model. You specify the cost function for a design. If you are new at this, start ...

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Multiple input feedforwardnet neural network toolbox
Specialized functions NEWFIT (regression and curve-fitting) and NEWPR (classification and pattern-recognition) automatically cal...

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How to test an input (after training) by using Neural Network ?
You cannot "test" a net without a known input/target pair. That is why trn/val/tst data division is a default. The divided te...

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Switching an existing batch trained NAR network to continuous incremental training with adapt?
It doesn't make any difference whether the additional training is batch or adaptive: If the new data does not contain the dom...

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How to use artificial neural network
1. Define what you mean by analyze. 2. What are your inputs? 3. What are your outputs? Try the commands help narxnet...

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Output data size does not match net.outputs{3}.size.
You defined 3 layers. The last layer has only 1 node that does not match the 29 dimensional target. Add 28 more output nod...

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hello, i'm want to ask about my neural network program. i have change input and output. but seems image still goes to others. can you please help me how to get it recognize correctly.
>>> GEH1 Matrix dimensions? %Number of neuron L1=10; L2=10; L3=10; >>> GEH2 3 hidden layers is ill-advised >>> ...

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How can i use sim function in trained neural network
Data = xlsread('data.xlsx'); Target = xlsread('Target.xlsx'); testdata = xlsread('testdata.xlsx'); X = ton...

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problems in the classification
help patternnet doc patternnet Search the NEWSGROUP and ANSWERS greg patternnet If you go to help nndatasets ...

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fitnet Why test results are unbiased?
This discussion has absolutely nothing to do with bias weights. Theoretically, training, validation and test data are all as...

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how do i optimize weights of neural network using GA in MATLAB(need codes to achieve that), again how do i call this function that optimzes the neural network weights in GA GUI so i can work with it from the interface
When [ I N ] = size(input) [ O N ] = size(target) MSE00 = mean(var(target',1))% Reference MSE The number of availa...

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Neural network classifier for classification of brain MRI Images
It doesn't sound like you have a sufficient amount of data for precision estimation. Therefore I would recommend many repetit...

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How can i train a neural network already optimized with GA in MATHLAB with train net
1. MATLAB is named for MATRIX algorithms: THERE IS NO "H" 2. If you need help why are you giving up as little information as ...

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Sparse matrix as features in neural network
I think it is as simple as reading the documentation help sparse doc sparse Hope this helps. *Thank you for formally...

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