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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

11 years ago | 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...

11 years ago | 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...

11 years ago | 1

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Answered
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 ...

11 years ago | 1

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Answered
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...

11 years ago | 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 ...

11 years ago | 2

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Answered
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...

11 years ago | 1

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Answered
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 ...

11 years ago | 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...

11 years ago | 2

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Answered
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...

11 years ago | 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

11 years ago | 1

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Answered
Bayesian Neural Network
help trainbr

11 years ago | 1

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

11 years ago | 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 ...

11 years ago | 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...

11 years ago | 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_...

11 years ago | 1

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

11 years ago | 1

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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 ...

11 years ago | 0

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Answered
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...

11 years ago | 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...

11 years ago | 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...

11 years ago | 2

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Answered
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:...

11 years ago | 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...

11 years ago | 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/...

11 years ago | 2

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Answered
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...

11 years ago | 0

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Answered
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...

11 years ago | 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

11 years ago | 0

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Answered
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...

11 years ago | 0

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Answered
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...

11 years ago | 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

11 years ago | 1

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