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create an Evolutionary Neural network ???
My combined equations for y and h are equivalent to the sim and net functions when calculating the output y = sim(net,x); ...

14 years ago | 0

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Detection of sinusoids in the discrete sequence
If both sampling frequencies are equal to Fs = 1/dt, then the folowing conditions should be met 1. The signal amplitudes ar...

14 years ago | 0

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Weights in Neural networks
It tends to be difficult, if not impossible, to understand weight configurations when one or more of the following conditions ex...

14 years ago | 1

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Identification of NARX problem with death time between Inputs and Outputs
% inputs & outputs X = [x y]; % since at time t we have both x and y T = y; % narxnet set-up 1. NO. ONLY...

14 years ago | 0

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Answered
Multiple output in TDNN (Time Delay Neural Network)
% I have three inputs signals and three outputs signals, and the problem % appears when the the data is prepared (for taking i...

14 years ago | 0

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Needing Good Neural Network (Classification) Design
Sir Greg? I must be getting old because I don't remember being knighted. Why aren't you consulting the examples in the docume...

14 years ago | 0

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Simple Feedforward NNet questions
My codes so far: inputs = xlsread('data.xls',1); inputs = inputs'; % 6 x 1000 outputs = xlsread('data.xls',2); 1....

14 years ago | 0

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prediction in univariate times series with neural networks
help narnet doc narnet

14 years ago | 0

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Euclidean distance dist function
You used dist incorrectly. The input is a single I x N matrix consisting of N I-dimensional column vectors. The output is...

14 years ago | 1

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Neural Network performance generalization
Either your new data cannot be assumed to be a random sample from the same probability distribution as the trn/val/tst data ...

14 years ago | 0

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Is validation set being used for training in NN?
% The short answer is no. Sep 25, 2012 07:37:34 AM, airgouveia@gmail.com wrote: > I'm using the Neural Network toolbox and...

14 years ago | 1

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Simple Feedforward NNet questions
Binary numbers in the output generally indicate a classifier. In which case I advise using patternnet, unit vector column ta...

14 years ago | 0

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How to find the important features from many features of a MFFC speech sample??
For a c-class classifier, use a target matrix with columns of eye(c). Then input and target matrices will have the sizes [ I ...

14 years ago | 0

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what is the max_fail in neural network ?
See my latest answer to your previous post "how can i analyze my neural network ?" Hope this helps. Thank you for offi...

14 years ago | 0

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how can i analyze my neural network ?
See the comp.ai.neural-nets FAQ. ftp://ftp.sas.com/pub/neural/FAQ.html Consider 1. Randomly draw all of the data from ...

14 years ago | 3

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How can I get the R-values after training a neural network ?
help regression doc regression Hope this helps. Thank you for officially accepting my answer. Greg

14 years ago | 0

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How do I interpret the output of a trained SOM for classification.
Kohonen's advice: Convert the SOM to a LVQ neural network. Hope this helps. Thank you for officially accepting my answer. ...

14 years ago | 0

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NN in matlab
Search for some of my codes in Answer(11) and the Newsgroup(many more) heath Ntrials Hope this helps. Thank you for of...

14 years ago | 0

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how can i analyze my neural network ?
>i have create a newpr network with two hidden layers, and i want to analysis >the the netwrok, i see the plot confusion and see...

14 years ago | 0

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create an Evolutionary Neural network ???
Since this is a pattern recognition algorithm, for c classes or categories, your targets should be columns of the c-dimensional ...

14 years ago | 0

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NARX Time series Neural Network
Since your output is one value, it is not a time series problem. If that value is a classification into 1 of c categories, us...

14 years ago | 0

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Plotting MSE of Validation and Testing Data during training of ANN
What version of the NN toolbox are you using? The latest versions have fitnet for regression or curvefitting patternnet f...

14 years ago | 0

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Answered
Elman Neural Network
If [ I N ] = size(P) [ O N ] = size(T) The number of training equations is Neq = prod(size(T)) = N*O For an I-H-O...

14 years ago | 0

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adaptwb failed to calculate gradient of biases, input weights, and layer weights
The input example does not appear to have any prediction capability. Why not use the example in the newelm documentation? P =...

14 years ago | 0

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dynamic+static network combination
Only include parameters as inputs if they change with time. newfit or fitnet can be used for regression or curvefitting. n...

14 years ago | 0

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Elman Network with Logsig Output Neuron
net=newelm(elman_input,elman_targets,[ 5,5], {'tansig','tansig','logsig'}); The output dimension is automatically obtained fr...

14 years ago | 0

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Is it possible to have more than one function in a custom 'train' file?
The long answer is: Yes.

14 years ago | 0

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How can I check the continuity of a image by using code matlab
I always look for discontinuities by taking derivatives.

14 years ago | 0

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How can I get measured data and simulated data to match?
If [ I N ] = size(measured) Solve the matrix equation W*[ ones(1,N); simulated ] = measured

14 years ago | 0

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how i will get the predicted output from this neural network program?
Part of a longer answer isanswer is: 1. The plotted I/O relation is simple and can, for interpolation, be modelled, WITHOUT ...

14 years ago | 0

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