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How can i train a multilayer perceptron with complex data?
It can and has been done. Just use neural and complex in any search engine. Although I tried it once or twice, I gave it up ...

13 years ago | 0

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Answered
how to calculate the error in Neural Network Back Propagation Network
Use as many defaults as possible MSEgoal = 0.01*mean(var(target',1)) MinGrad = MSEgoal/100 net = newff(input,target); ...

13 years ago | 1

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Answered
Neural Network Input Data
[3 100 ] = size(input) [12 100 ] = size(output) help fitnet doc fitnet Hope this helps. *Thank you for formally...

13 years ago | 0

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Matlab Neural Net: Classifying Numerically Related Classes.
There is no need to take the sequential nature of the output into account. Just use 5-dimensional unit vectors with a single ...

13 years ago | 0

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Answered
How to determine input and target data for classification in neural network
%size(input) = [ 7 125 ] %size(target) = [ 5 125 ] target = zeros(5,125); target(1,1:25) = ones(1,25); ... ta...

13 years ago | 0

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Answered
Help with future data prediction
Just choose the correct values for the input and feedback delays ID = [ 0 1 ] FD = 1 *Thank you for formally accepting ...

13 years ago | 0

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Neural Network: Blast Furnace Simulation -How do I how many neurons/layers i should use to optimize my network?
INCORRECT: The target vector does not have the same size. Standardize input and target matrices (ZSCORE or MAPSTD) [I N ] ...

13 years ago | 0

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Answered
Neural Netwok testing issues
Bottom lime: You don't have enough data to adequately characterize a space of dimension 10,304. 50 data points can span, A...

13 years ago | 1

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Answered
Neural Netwok testing issues
What...no validation set? How did you avoid memorization by overtraining an overfit net? [I N ] = size(input_data) = [10304 5...

13 years ago | 0

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Neural Network tool nftool
Not enough information. 1. Your spelling of outputs is inconsistent 2. [ I N ] = size(inputs) =? 3 [ O N ] = siz...

13 years ago | 0

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Neural network for pattern recognition
This is a standard time-series prediction problem. help timedelaynet Hope this helps. *Thank you for formally accepting...

13 years ago | 0

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Self Organizing Map training question
This is a well known NN training phenomenon simply referred to as forgetting. See comp.ai.neural-nets posts and FAQ. The only...

13 years ago | 0

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Answered
How can create a neural network by hand using trained neural network data in Matlab
x = 1:1:50; % Semicolon y = x * 3 ; % Semicolon net = newff(x,y,5) % NO semicolon inputprocessfunctions = net....

13 years ago | 0

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Answered
Neural Netwok testing issues
Are you using patternnet? If not, what? What is the size of your input matrix, target matrix and number of hidden nodes? W...

13 years ago | 0

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neural network analysis and modelling
1. Obtain the weights IW,b1,LW and b2 from the net. 2. Normalize x and t to get xn and tn yn = repmat(b2,1,N)+ LW*tansig(r...

13 years ago | 0

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Answered
Neural Network Expression Extraction
Type net % Without a semicolon See the defaults that you have not taken into account (e.g., mapminmax) *Thank you fo...

13 years ago | 0

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Answered
How do I add a column to a matrix with specific values?
The question is ill posed. The matrix has 4 columns and the question is how to add a third column. The accepted answer is ...

13 years ago | 0

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Narnet: How does the prediction work?
for I=1:500 % or any other large number you like 1. Calculate the autocorrelation function of randn(1,N) where N is the ...

13 years ago | 0

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Answered
what is the purpose of the last line?
init initializes a net with random weights. However, the command is totally unnecessary because newff is self-initializing. ...

13 years ago | 0

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Answered
KDD data set normalization
Read the documentation on premnmx. Not only is it obsolete, it has a bug. Use mapminmax instead help premnmx doc premnmx...

13 years ago | 0

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Using pattern neural network's weights in my own forward propagation code
ALWAYS use TANSIG for hidden layers and normalize inputs so that the means are approximately zero. Let the levels be controll...

13 years ago | 0

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How to create a custom neural network?
Although view.net shows the 3-input/4-layer network I wanted, I do not know how to tell train that there are 3 separate 1-dime...

13 years ago | 0

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Answered
please i want to know the definition of each of the variables in the statement i.e y,t e.t.c.I am using R2009. But when i type the statement is complaining . in Daily_Result = performance(y,t,'all', 'v') % calculate statstics.
PERFORMANCE is not a function in any of my Toolboxes. Check the documentation in MATHWORKS.com. The documentation for the...

13 years ago | 0

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Answered
changing number of neurons
close all, clear all, clc tic [ x, t ] = simplefit_dataset; MSE00 = mean(var(t',1)) % Constant output reference Hmin...

13 years ago | 1

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Answered
How to create a custom neural network?
The diagram shows 3 neurons in the hidden layer and 1 neuron in the output layer. All transfer functions are 'purelin'. You ...

13 years ago | 0

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Discrete time Neural Network programming in MATLAB
There are no hits on Chebyshev neural networks in the NEWSGROUP, ANSWERS or COMP.AI.NEURAL-ETS. Try more general searches usi...

13 years ago | 0

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Answered
KDD data set normalization
1. I do not see where you have confirmed that you have obtained acceptable results from training. Where do you compare training ...

13 years ago | 0

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Answered
Expression of ANN Model
The standard MLP for regression and curve-fitting is FITNET. The standard MLP for classification and pattern-recognition is PAT...

13 years ago | 0

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why exp(a*t) is not equal to ilaplace ((s*i-a)^-1) in matlab
In addition to the surprising fact that you did not post your exact code, your expression for exp(A*t) is incorrect.

13 years ago | 0

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nnstart and test ROC AUC
clear all, close all, clc, plt=0; tic [ x, t ] = simpleclass_dataset; [ I N ] = size(x) % [ 2 1000 ] [ O N ] = s...

13 years ago | 1

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