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How is the output layer characterized in the neural network toolbox?
It works for me. You will have to show your code. Greg

fast 12 Jahre vor | 1

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get neural network performance outputs
The operations help, doc and type can be used to find details of any function. If you type net = patternnet %NO SEMICO...

fast 12 Jahre vor | 1

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How to specify the transfer function for the hidden and output layer?
Use fitnet for regression/curve-fitting or patternnet for classification/pattern-recognition. Both call feedforwardnet. 2 l...

fast 12 Jahre vor | 1

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Different matrix dimention of input and target in neural networks?
You may have to transpose your data Check dimensions [ I N ] = size(input) % [ 1 250] [ O N ] = size(target)% [ 2 250 ...

fast 12 Jahre vor | 1

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Usage problem of saved neural network
1. Check the loaded net to make sure it has all the correct properties net = net % NO SEMICOLON! 2. Sequentially remove...

fast 12 Jahre vor | 1

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How to minimaze the number of neural network input?
Not enough details. Finding the optimal combination is, in general, complicated. However, using stepwise or stepwisefit on a ...

fast 12 Jahre vor | 2

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Why the number of epochs, using trainlm, is so low?
% Hi, I'm a new user of this community and I apologize for my english at % first. I'm using nntool for develop a neural network...

fast 12 Jahre vor | 1

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Can any one tell me what is the simplest way to create an Elman nerual network(ENN), with 'trainrp'(resilint back propagation), whose weights are initalized by nguyen widrow algorithm with 20 hidden layers. Network which has very less random nature.
I really have to question your approach 1. Why ELMAN? If you use the commands help and doc help elman doc elman you ...

fast 12 Jahre vor | 1

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how to get same result for multiple trainings of neural network
Initialize the random number generator to the same state before training. Search for rng in my design posts. Hope this he...

fast 12 Jahre vor | 2

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Solve a system of equations with two unknowns
With an obvious change of variables, the two equations can be combined to obtain y^4 =( 83.18 + 16.97x^4)/7.48 and y...

fast 12 Jahre vor | 2

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How to Use Neural Network After Deployment?
See help gensim doc gensim Hope this helps. *Thank you for formally accepting my answer* Greg

fast 12 Jahre vor | 1

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Bayesian Neural Network
help trainbr

fast 12 Jahre vor | 1

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Fibonacci with Neural Network
http://www.mathworks.com/matlabcentral/answers/155488-prediction-using-narx-network

fast 12 Jahre vor | 0

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Prediction using narx Network
% Prediction using narx : % Sent By Unnikrishnan P.C. On:Sep 09/19/14 1:45 PM %Neural network to create a Fibinocci ...

fast 12 Jahre vor | 1

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how to calculate the variance between columns of matrices
No. The output is >> output = reshape(var([a(:)';b(:)';c(:)']),3,3) output = NaN NaN 0.33...

fast 12 Jahre vor | 1

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How can I build a 1x5x1 NN?
[P,T] = simpleseries_dataset; d1=(0:5); d2=(0:5); dtdnn_net = distdelaynet({d1,d2},5); [Ps,Pi,Ai,Ts] = preparets(dtdnn_...

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Neural Network Regression Score
In general, Linear regression model y = m*t + b + e % e random error, uncorrelated with t y0 = m*t0...

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Question on "newlind" from Neural Network Toolbox
Use type, doc or help to get the answer. For example, type newlind function out1 = newlind(varargin) %NEWLIND Design ...

fast 12 Jahre vor | 0

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how to calculate the variance between columns of matrices
>> var(b-a) = [ NaN NaN 8.3333 ] However, I have no idea what the variance of the difference between two matrices is suppo...

fast 12 Jahre vor | 1

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calculating results (error, mse) by hand (Neural network)
MAXMIN normalization of input and output are defaults. Therefore you have to 1. Normalize inputs before multiplying with the...

fast 12 Jahre vor | 0

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how do i calculate the accuracy of ANN?
So this is regression, not classification. Use fitnet and vary the number of hidden nodes. For each value of hidden nodes, desig...

fast 12 Jahre vor | 2

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Prediction using narx Network
The Fibonacci series does not result from an input/output relationship. It is autoregressive Either y(1:2) = [ 0 1 ] or y(1:...

fast 12 Jahre vor | 1

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Ideas on neural network forecasting with matlab
% Let's say I want to use a neural network to predict the feed-in of wind power into the grid for the next 36 hours. What...

fast 12 Jahre vor | 1

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how to fix constant iteration in neural networks
When you train your net again, the random number generator is in a different state. Therefore you will have a different trn/val/...

fast 12 Jahre vor | 2

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Neural network with multiple inputs and single output - how to change processing functions and how to plot results?
1. Type net = fitnet % NO SEMICOLON You will see that there are defaults for all parameters. 2. Type help fitne...

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how do i calculate the accuracy of ANN?
Insufficient info. Are these classifiers? If so, are the class size ratios of the training data the same as that for unseen n...

fast 12 Jahre vor | 1

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I am using a trainbr function to train a NN on 120X134 matrix. It trains very well even with three nodes in hidden layer but does not give satisfactory results on a test matrix. If this is a case of overfitting, how should I avoid it?
Reduce the number of inputs. help plsregress doc plsregress type plsregress Hope this helps. Greg

fast 12 Jahre vor | 0

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About ANN and Levenberg Marquardt theory
I have found that the default parameters work well about 99% of the time. So, you really don't have to set any parameters unl...

fast 12 Jahre vor | 0

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how to fix constant iteration in neural networks
If you train multiple nets in a loop you can duplicate previous runs by keeping track of the state of the random number generato...

fast 12 Jahre vor | 0

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Refresh weights of neural network without `Configure` function in MATLAB
Use the init function init(net); Hope this helps *Thank you for formally accepting my answer* Greg

fast 12 Jahre vor | 1

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