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Neural network about weights
WB = getwb(net) The syntax in the documentation of getwb and related functions is incorrect. Hope this helps. Thank you...

13 years ago | 0

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Answered
How to change a subset of ANN weights while keep others weights unchanged?
These are the results using FITNET for the 1-3-1 design. 1. All 20 cases terminated via tr.stop = 'Minimum gradient reached.'...

13 years ago | 0

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How to change a subset of ANN weights while keep others weights unchanged?
I have performed 40 experiments using MATLAB's simplefit_dataset. There were 10 random weight initializations of 1-4-1 nets for ...

13 years ago | 0

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How use the feed-forward time delay?
help narxnet doc narxnet You can find additional info and examples searching both the Newsgroup and Answers using the two ...

13 years ago | 0

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Backpropagation ANN Code - for beginner
Three examples of my sample code obtained from Answers using the two search words: heath ntrial A1. 25 Oct 2012 Neural Networ...

13 years ago | 0

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How to change a subset of ANN weights while keep others weights unchanged?
I don't know how many times you want to change the first layer weights during training. However, if you have 2 hidden layers and...

13 years ago | 0

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Analyzing results and output plots of neural network
Analyzing results and output plots of neural network Asked by aurora on 4 Nov 2012 at 1:30 Latest activity Commented on ...

13 years ago | 0

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How to write a Code for regularization of RBF Neural Network?
Writing your own code will not be easy. Why don't you search the net? Especially search comp.ai.neural-nets. I know there are ...

13 years ago | 0

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Answered
neural network performance plot
[ net tr ] = train(net,x,t); tr is a structure which contains time histories of quantities that can be used for plotting. ...

13 years ago | 0

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How to change a subset of ANN weights while keep others weights unchanged?
First, let me clarify my train of thought. I was comparing training continuously using net.trainParam.epochs = 100 with training...

13 years ago | 0

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Answered
How to change a subset of ANN weights while keep others weights unchanged?
I guess I do not understand exactly what you want to do. My original point was that if you use one of the obsolete fuctions, you...

13 years ago | 0

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Model to predict surface movements using Neural Networks
If the motion is force free, x,y,z(x,y,t-2),z(x,y,t-1) as inputs and z(x,y,t) as output. If the motion is forced you will nee...

13 years ago | 0

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Answered
Analyzing results and output plots of neural network
% Arbitrary data for checking syntax P = randn(20,105); T = repmat(eye(15),1,7); % NAIVE CONSTANT MODEL MSES FOR REFERE...

13 years ago | 0

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Test data Neural Network
One of the basic assumptions of NN model design is that the trn, val and tst data can be assumed to come from the same probabili...

13 years ago | 1

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How to change a subset of ANN weights while keep others weights unchanged?
You can directly assign any combination of weights that you want after the call of the osolete functions newpr, newfit or newf...

13 years ago | 0

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What values should I put in my targets whenever they're "don't care" values?
Make no changes to the net. Just check outputs for round(y(6,j)) == 0 and act accordingly. Hope this helps. Thank you ...

13 years ago | 0

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Can a user-defined function be called after weight/bias updates during training?
The reason the stopping/starting negatively impacts learning is because the learning parameters are reinitialized every time tra...

13 years ago | 1

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some clarifications on ANN
PLEASE DO NOT START A NEW THREAD WITH FOLLOWUP QUESTIONS TO ANOTHER THREAD. > Could you please clarify the answer once again....

13 years ago | 0

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Is calling train with 20 epochs of learning the same as 20 calls to train with 1 epoch of learning?
Every time train is called it starts with new values for training parameters like mu, etc. Therefore, if there was someway to sp...

13 years ago | 0

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Matlab Neural networks: why use sim?
The first is newer, so I guess they want you to use it. I don't know why it was changed.Probably to take some of the load off...

13 years ago | 0

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How can I customize the NARX neural network Input and Feedback Pre/Post-Processing Functions?
Why do you thin you "need" to do this transformation?? MAPMINMAX is designed to scale internal inputs, targets and outputs i...

13 years ago | 0

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Query regarding Artificial neural network
CORRECTION: You have one hidden layer with H = 9 hidden nodes. Do not use more hidden layers. Design an I-H-O MLP for classif...

13 years ago | 0

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univariate time series prediction with neural network
1. Search the website documentation for sample code and/or demo. 2. Search the command line documentation for sample code. ...

13 years ago | 0

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Can I specify unit-to-unit connections in multi-layer network?
Yes, you can do it. See the NNTBX documentation for custom networks. But why ?? The MLP with a single hidden layer and ...

13 years ago | 0

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Test data Neural Network
Test data Neural Network Asked by Edo on 25 Oct 2012 at 7:10 Latest activity Commented on by Edo about 11 hours ago %...

13 years ago | 2

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Matrix dimension problem during training with newff?
>In a benchmark dataset if there is a lots of zero in the input file does newff reduces input parameter ? Which benchmark dat...

13 years ago | 0

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newnarx initialization and validation problem
See my previous post re your last program. Most of the comments are relevant for this post. In particular, do not overwrite d...

13 years ago | 1

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Neural Net: Saving Trained Net
%************************************** NN Modelling ********************************** % Creating Neural Net % [yn,ys] ...

13 years ago | 1

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NEURAL NETWORK reproducibility of results using neural networks without initfcn = 'rands'
The answer is 'dividerand' randomizes the order of the input/target pairs. Hope this helps. Thank you for formally accepti...

13 years ago | 1

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patternnet for classification to 5bit targets?
I remember Warren Sarle, the maintainer of the CANN FAQ lecturing and/or demonstrating the folly of using regular binary coding ...

13 years ago | 0

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