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Beginning a new neural network from previously trained weight
Sounds like a waste of time. 1. See the help and doc examples 2. Search for posted examples in NEWSGROUP and ANSWERS ...

12 years ago | 1

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How to put a saved neural network to work on a new set of data?
ynew = net(xnew);

12 years ago | 1

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How to display figure of neural network structure ?
I only know view(net)

12 years ago | 1

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Which neural network is suitable for my problem
> Its a time series problem but the output is only dependent on the previous time step. This implies y(t) = f(x(t-1),y(t-...

12 years ago | 1

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Neural network update via new inputs
1. Obtain the current weights. 2. Define a new net with an extra input and output node 3. Assign the current weights to th...

12 years ago | 2

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Neural Network classification problem
You cannot rank inputs well with your technique because inputs are correlated. 1. Standardize all data to have zero mean and...

12 years ago | 1

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NAR Neural network predict Y(t+1) value
If you are limited to no more than n feedback delays, only use the 1 <= d <= n (not necessarily consecutive) delays that corresp...

12 years ago | 1

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what is use of delays in time series problems
Go to help nndatasets doc nndatasets and choose one of the narxnet eamples. I will compare your results with mine. ...

12 years ago | 1

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To create a prediction model for road traffic time series data(i.e vehicle count)using artificial neural network in matlab
You will have to include day of the week (1-7) as an input. help narxnet

12 years ago | 2

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how to Create Custom Transfer Function for Neural Network in MATLAB
http://www.mathworks.com/matlabcentral/answers/64319-neural-network-how-to-use-a-custom-performance-function Hope this helps....

12 years ago | 2

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how to perform image compression
Searching ANSWERS using image compression neural only yields 11 hits. However, searching in the NEWSGROUP yields 33 hits...

12 years ago | 1

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Use multidimensional (n>2) array as input for train
1. Convert the data to format long 2. Use PCA feature extraction to reduce IROW = 1440 to irow << IROW 3. Columnize using...

12 years ago | 1

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Which neural network is suitable for my problem
NARNET is the appropriate function. help narnet doc narnet Choose the row vector of positive feedback delays, FD, from...

12 years ago | 1

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How do I improve the performance in training neural network ?
Try this. Details can be discussed later [ I N ] = size(B) % = ? { O N ] = size(E1) % = ? MSE00 = mean(var(E1'),1) ...

12 years ago | 0

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How can I set targets in nueral network pattern recognition?
If your {0,1} answer only depends on whether one or more of three inputs is out of range, then there is no need for a NN. On the...

12 years ago | 1

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Neural net default error: "Default value is not a member of type "nntype.distance_fcn"."
1. Review a. doc selforgmap b. help selforgmap 2.What happens when you cut and paste the help example with each of ...

12 years ago | 1

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NAR network vs NARX network? Error weights in preparets?
Narx can also include present values of the input. If the cross=correlations between input and output are significant, Narx s...

12 years ago | 1

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Neural net default error: "Default value is not a member of type "nntype.distance_fcn"."
If you can't figure it out, try the command line approach and keep my comment in mind. Hope this helps. *Thank you for for...

12 years ago | 1

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How to decide sampling frequency (is there any rule) for analysing the 3 phase voltage and current signals so as to use them as input to neural network for fault location
I can adequately represent one period of a sinusoidal wave with 8 equi-spaced points. So, choose the highest frequency you want ...

12 years ago | 1

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Abnormal outputs in Neural Networks Blind tests (new tests after the net is trained).
Most of your code is useless. It is equivalent to Input(1,:) = xlsread('Training data.xlsx','B2:B165241'); Input(2,:) = xl...

12 years ago | 2

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Bayesian Network trainbr: Effective number of parameters
If you use 22 parameters and trainbr says the number of effective parameters is six 1. I don't think that means you can disc...

12 years ago | 0

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about trainbr and tranlm
Backpropagation is an optimization technique used in many types of algorithms. trainlm and trainbr are just two of many algor...

12 years ago | 1

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Can we change the name of an input neuron in neural netwrok?
The quick answer is: YES To understand how, consider the following: Terminology correction: The typical FFMLP has ...

12 years ago | 1

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trainbr and data division
An ovefit network that is overtrained memorizes the training data and can perform very poorly on nontraining data. Instead of us...

12 years ago | 2

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Create Neural Network with multiple output
You have one output but it is 2-dimensional. Use patternnet with size(x) = [ 5 N ] and size(t) = [ 3 N ] where the c...

12 years ago | 0

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Neural Network Time series - Forecast problems
Always use a single hidden layer since it is a universal approximator. Use one or both of autocorrelation(t)and crosscorrelat...

12 years ago | 0

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Applications where Radial Basis and Probabilistic Neural Networks are successful respectively?
Use RBFs. Like MLPs, under some conditions, they are universal approximators. I consider PNNs to be a special case of an RBF...

12 years ago | 1

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Weight decay parameter and Jacobian matrix of a neural network
The documentation for trainbr is pretty bad. help trainbr doc trainbr Look at the source code type trainbr I am...

12 years ago | 0

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how to code two input and one output neural network???
The same matrix equations as for a single input. The "Mat" in Matlab stands for Matrix. What have you tried? Hope this hel...

12 years ago | 0

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About parameters for NARX
FD: Find the significant delays in the autocorrelation function of the target ID: Find the significant delays in the cross-co...

12 years ago | 1

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