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How to change the activation function in ANN model created using toolbox
You are approaching the problem in exactly the wrong way. The multilayer perceptron with one hidden layer is a universal appr...

約11年前 | 2

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Train and simulation of neural network
Yes, NEWFF and it's special cases NEWFIT and NEWPR have been obsolete since 2010b. However, they still can be used. It would ...

約11年前 | 0

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how do i optimize weights of neural network using GA in MATLAB(need codes to achieve that), again how do i call this function that optimzes the neural network weights in GA GUI so i can work with it from the interface
Unfortunately, I lost my own NN GA code to a computer crash many years ago. I have not attempted to replace it. However, I have ...

約11年前 | 0

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Indexing cannot yield multiple results.
First: train = tr.trainInd; is not allowed because train is a reserved word. I use trnind, valind, and tstind. ...

約11年前 | 1

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neural network training function
I don't see why you would need this subroutine in 2015. 1. NEWFF and special cases NEWFIT for regression/curve-fitting and NE...

約11年前 | 0

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I want to design a neural network (newff) for following data which has one input and two out puts. can anyone help me to write matlab code
Of course we can help 1. Explain your problem and identify the inputs and targets 2. NEWFF has been obsolete since 2010b. ...

約11年前 | 0

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NARX multi step predictions for external test data by using training data?
I have found several problems with your exercise. You will see the major problem if you just plot your data. You should al...

約11年前 | 0

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trial and error approach to find optimal hidden neurones number
What are the sizes of the input [I N] and target [O N ] matrices? What is Hub for Ntrneq = Ntrn*O = 0.7*N*O >= Nw = (I+1)*H+(...

約11年前 | 1

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how to test and improve multi layer perceptron
NEWPR is the version of NEWFF that should be used for classification/pattern-recognition Remove ending semicolons to see comm...

約11年前 | 0

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Time Series forecasting with 3 input data NARnet or NARXnet?
Mathematically, you have the choice of choosing any combination of the 3 series to be inputs and any, possibly other combination...

約11年前 | 0

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Is it possible to compute Cross entropy for support vector machine?
I don't remember if my post was in the NEWSGROUP or ANSWERS. Therefore, search both using greg crossentropy Hope this ...

約11年前 | 0

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Change of function used in RBF
You misunderstood my answer. Instead of using NEWRB which has limited flexibility, consider FITNET for regression and curvef...

約11年前 | 1

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which is the best way to select the input parameters for neural network
It depends on how much time and how many variables you have. 1. Standardize all variables. Then removing a variable is equiv...

約11年前 | 0

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How to forecast using ANN
help narxnet doc narxnet net = narxnet(3:6,3:6,5); ===================================================================...

約11年前 | 0

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Hi, how to extracted a linear model from the nonlinear neural NARX using Instantaneous Linearization in MATLAB?, there is any command for doing Instantaneous Linearization for NARX in MATLAB? please help me. thanks.
For linear models net = feedforwardnet([]); similarly net = narxnet(ID,FD,[]); NOTE: for obsolete functions (e.g.,...

約11年前 | 0

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Change of function used in RBF
I don't know exactly. However my first step would be to look at type newrb and consider the consequences of altering n...

約11年前 | 1

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How to do a production forecast with GA-NN hybrid in MATLAB
You have a single I = O = 3 dimensional series with N = 2100 timesteps. You have successfully designed a NARNET with NFD = 4 fee...

約11年前 | 0

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Why in different execution different performance comes in the Neural Network same program ?
The state of the RNG is different. Therefore the random initial weights and random trn/val/tst data divisions are different. ...

約11年前 | 0

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How can I improve my neural network output?
"Not very desirable" is not very helpful. Need a numerical measure. For example NMSE = mse(target-output)/var(target,...

約11年前 | 0

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hello I am Havva ÖZDEMİR I am working on ARTİFİCİAL NEURAL NETWORK (time delay series) but I can't success network training because my knowledge is not satisfactory in Matlab Good work My work is demand forecasting with artificial neural network
NEWSGROUP HITS timedelaynet 23 greg timedelaynet 20 ANSWERS timedelaynet ...

約11年前 | 1

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Neural network: generated function usage
Description uses sin(x/1150) Function uses sin(x/100)

約11年前 | 1

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Neural network: generated function usage
How many points are needed to uniquely specify a sinusoidal function? Since the general form for a pure sinusoid, A*cos(w*t+phi)...

約11年前 | 1

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Converting target values into form appropriate for Neural Network Classificaton
1. See the patternnet help and documentation examples help patternnet doc patternnet Search the NEWSGROUP and ANSWERS...

約11年前 | 0

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Using 5-fold cross validation with neural networks
I just wrote a tutorial in the NEWSGROUP http://www.mathworks.com/matlabcentral/newsreader/view_thread/340857 Hope this he...

約11年前 | 1

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fault detection in power transmission system data
Google POWER TRANSMISSION DATA BASE Look at the 2nd hit. Hmmm ... Why didn't you do this before posting?

約11年前 | 0

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Implementing initial weights and significant feedback delays in a NARNET
%GEH1: a. NN series are rows b. Use UC for cells and LC for doubles UC/LC: Upper and Lower Case x = cell2mat(X), t = cell2ma...

約11年前 | 0

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Can target vector of neural network have sum of columns >1?
No! Target columns should be columns of eye(56); truclassindices = vec2ind(target); target = ind2vec(truclassindi...

約11年前 | 1

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Output of neural network is offset and scaled.. help!?
The function input should be weights, instead of the net. Is LW{6} a typo? One hidden layer is sufficient since it is a un...

約11年前 | 0

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how do i know the specifications of that neural network??
How many classification categories, c ? What is the dimensionality, I, of the input feature column vectors? How many input...

約11年前 | 0

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How to simulate default patternnet with feedforwardnet in Matlab?
When comparing numerical designs, you should initialize the RNG to the same initial state before each training. To compare th...

約11年前 | 0

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