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How do you fill in NaN in time series using neural networks?
Try again using real data. Using random data for a time series makes no sense at all: It is the correlation between adjoining po...

約9年前 | 0

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What work space values do i need to save separately to test Classification of a number of voice emotion recognition neural networks and compare a new input against several to give a result?
There are many fundamental problems. 0. You have spelled Target wrong 1. NEWFF with special cases NEWFIT (for curve"FITT...

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Using NARX Neural Network
No. Use FITNET: help fitnet doc fitnet Search NEWSGROUP and ANSWERS greg fitnet greg fitnet tutorial Hop...

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How do i train neural network using GA in matlab need code i am trying to predict stock market close value.
I don't recommend using GA. See my explanation in the NEWSGROUP and ANSWERS. Search with Greg genetic Hope this helps. ...

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How to apply generalized delta rule for back propagation in Matlab?
I suggest you start by consulting the documentation examples in help patternnet and doc patternnet Then consult so...

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neural network fitting time to resolve
Your data has the dimensions [ I N ] = size(input) % [475 1.6M ] [ O N ] = size(target) % [ 2 1.6M ] However, since ...

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How to evaluate the pattern recognition peformance of newrb RBFNN
>I want to use a RBFNN for character recognition. I have 40 images >stored in a input vector N and 40 targets stored in a targ...

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MATLAB Neural Network Training: Crazy Validation Output
I'm only using upper case for highlighting; always use lower case for coding. You are making an easy problem hard. To preven...

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Error: horzcat CAT arguments dimensions are not consistent. with feedforwardnet and newff
lowercase a, b and c used in repmat are undefined. Hope this helps. *Thank you for formally accepting my answer* Greg

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i'm a PHD student and i'm new in Neural Network code, i have 4 intput scalar which give as output 2 matrix (9x9), can you help me
The data are N pairs of I-dimensional "I"nput column vectors and corresponding O-dimensional "O"utput target vectors stored in t...

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How to predict next value using time series that have only 1 column and 14000 rows ?
1. Transpose to get 1 row. 2. Search the NEWSGROUP and ANSWERS with narnet tutorial Good Luck, Greg

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Neural Network Toolbox Turn off Early Stopping
Set the training goal to 0 and set the allowed no. of validation increases to inf. Hope this helps. *Thank you for f...

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My code runs as a m file but not as an exe. What to do?
Nowhere is 'net' defined. Hope this helps. Greg

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syntax error which is not going after removing
t=(maxi,:) = x; is illegal. You cannot have more than 1 equal sign per statement. Use t=(maxi,:); x =t; Hope this...

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How to calculate the Neural Network
I think you are on the wrong track. Typically all you know are the N pairs of I-dimensional inputs and corresponding O-dimens...

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How to set target data in matlab for neural network ?
If you have 128 EEGs of length 256, you will need 128 targets of length 5 arranged so that the matrix sizes are size(input...

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should a neural network input have only one target group?
All that can be guaranteed (if you design enough nets with different random initial weights and numbers of hidden nodes) is that...

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,the overallperformance in the confusion matrix changed although i used the same number of hidden layer
Most likely you did not initialize the random number generator to the same initial state. Hope this helps, *Thank you for ...

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Replicating NARX architecture?
1. Please refrain from using numbers (e.g., 1, 11 and 12) as variables 2. Show some results using the MATLAB nar...

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Can I use some other values rather then using the values of t2(target) to calculate the ya in neural network?
No. Default MATLAB transformations -1 <= xn, tn <= 1 xn = -1 + 2*(x-xmin)/(xmax-xmin) tn = -1 + 2*(t-tmin)/(tmax-...

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how to improve performance of a neural network model
From the plots it seems that trend is captured and you probably can't do much better. In order to test that hypothesis try us...

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Which's the better classifier to use for skin issues identification using matlab
PATTERNNET is a universal classifier which typically means for a given set of reasonable input/target pairs you will probably do...

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how can we use MLP in matlab ?
You can design a MLP using the Neural Network Toolbox. This is orders of magnitude easier than trying to code it yourself. ...

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PreProcessing- PostProcessing in Neural Network Toolbox
Only the 1st and last layers. *Thank you for formally accepting my answer* Greg

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What is the input to layer recurrent network for time-series prediction task?
For documentation on the self prediction of a single series use NARNET help narnet doc narnet For examples earch both...

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How to use neural network classify EEG signal?
Search both the NEWSGROUP and ANSWERS using neural eeg Hope this helps. *Thank you for formally accepting my answer* ...

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One step ahead prediction using NARX networks
I HAVE COVERED MOST ASPECTS OF NARXNET DESIGN SEARCHWORDS HITS ...

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How do use the newgrnn function for 5 featured data?
In most NN Toolbox functions: For N pairs of I-dimensional "I"nputs and corresponding O-dimensional "O"utput targets [ I N ...

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How does newrb choose data center?
See my NEWSGROUP tutorials on NEWRB. Search with Greg newrb 1. Forward Search: At the end of each epoch the input with th...

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NARX closed loop prediction: starting value problem
1. There is an erroneous shift between the blue and green curves because the delay is not properly accounted for. 2. Low er...

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