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Hi. I am using mse funtion to find the mse of my network. In my opinion mse should change for every input.once i save the network and reload it. the mse command doesnt work and produces error.kindly help
Just use MSE = mse(target-output) Hope this helps. *Thank you for formally accepting my answer* Greg P.S. You ca...

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How can I prepare proper input and output dataset for multilayer neural networks
One key to successful NN design is to use the simplest configuration possible. Typically, the higher the points to unknown weigh...

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Integral with neural network
Whenever I have to use a NN inside another function, I find it MUCH easier to just use the matrix format y = net(IW,LW,B1,B2...

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How to implement cross validation in neural network for time series prediction
UH-OH ! I do not have crossvalind. CROSSVALIND IS NOT IN THE NN TOOLBOX!!! However, I have posted crossval...

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Training a data in open loop and testing other data in closed loop
1. Design 10 or more OL nets ( neto1, neto2, ..., neto10, ...) 2. Close the loop on the successful designs to obtain initial ...

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i am training ANN and i want to write the Epoch where the best validation occurred into the workspace. what code can do that?
The training record TR contains the complete time history of all 3 subsets. [ net tr ] = train( net,input,target); tr = ...

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Neural Network for Currency Forecast - How do I stop it from repeatedly training after I am happy with my NN performance?
{1. The code you have posted is the open loop (OL) solution. 2. It is not a deployable network because it uses the desired ...

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Neural Network (NARX) performance interpretation - how small is small?
If you naively model a function with a straight line, the MSE is just the variance of the function and varies with the scale of ...

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input and feedback delay in narxnet
1. Ntrn ~ 0.7*651 ~ 456 2. Use Ntrn for significant correlation threshold estimates 3. 1000 repetitions seems extreme. H...

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How to use a custom transfer function in neural net training
I cannot make sense of your post. tanh(x) = tansig(x) elliotsig(4*x) ~ tansig(x) elliotsig4(x) ~ tansig(x) ...

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How do validation check work in Neuralnet ?
design = train + validate train : Weight Estimation validate: Not directly involved in weight estimation. Protects ability...

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I get a "Performance function replaced with squared error performance" warning when trying to set 'crossentropy' as the performance function.
If you insist on using CROSSENTROPY, try PATTERNNET. Hope this helps. Thank you for formally accepting my answer Greg

casi 9 años hace | 2

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Plot a curve that splits data into two sets
Your data is extremely discontinuous. The best you can hope for is a decision tree. Hope this helps *Thank you for formall...

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Is there a script for backpropagation with momentum?
The best way to start is to accept all of the default values. For details help traingdm doc traingdm type traingd...

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Standard learning rate and momentum term trainlm NAR
There are 3 commands to try before posting help trainlm doc trainlm type trainlm Hope this helps. *Tha...

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Why do the outputs of my neural network not sum to a value of 1 when using the softmax transfer function on the output layer?
If you are performing classification or pattern-recognition of c DISTINCT CLASSES you should be using PATTERNNET with unit sum 0...

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Pregunta

How can I create a 2 x 0 empty cell array variable?
% As a result of help and doc narxnet neural network documentation, I get the following result [ X, T ] = simple...

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Transfer network from alexnet doesn't learn parameters
If it is a simple matter of unbalanced class size, 1. Repeat enough of the smaller class data points to make the classes eq...

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Pregunta

How to segment an image using neural network?
This question was erroneously put in an answer box by mahmud alatawi . PLEASE USE THIS POST FOR COMMENTS AND ANSWERS Greg ...

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MATLAB code to predict stock price
In addition to the documentation help narxnet doc narxnet There are hundreds of NEWSGROUP and ANSWERS posts. For exam...

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Difference between FFNN and NAR
1. The NARXNET timeseries net is defined for a. Present and past (i.e., delayed) external inputs b. Feedback inputs from ...

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How can I find the right neural network architecture
Search the NEWSREADER and ANSWERS using fitnet Hmin Hmax Ntrials Minimization of the number of hidden nodes subject to ...

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Predicting if a time-series nonlinear signal will reach end positions( 0 or max)
The answer to questions you have about input and feedback delays can be answered if you have relevant design data by using ...

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Recurrent neural network for real-time prediction
You can use [ net tr Y E Xf Af ] = train( net, X, T, Xi, Ai ); where Y = net(X,Xi,Ai) and E = gsubtract(T,Y) Hope th...

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Artificial Neural Network prediction
The data set doesn't have the information for predicting anything specific. Predictions are based on a history of variations ...

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In neural net function, how can I see normalized input data?
You have to use MAPMINMAX and calculate them yourself. The normalization inside of the training function is not accessible. F...

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NEURAL NETWORK-SIGMOID FUNCTION
I just posted a followup to QUICKIES https://www.mathworks.com/matlabcentral/newsreader/view_thread/349202 The zeros and o...

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NEURAL NETWORK-SIGMOID FUNCTION
Apparently 1. You are using the term prediction when you mean classification 2. You are using the term targets whe...

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How to partition data in a very specific way
There are a variety of ways to divide your data. See the help and doc descriptions of divideblock, divideind and divideint ...

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Need help with Matlab neural networks
Is this for regression/curvefitting or classification/patternrecognition? The respective current functions are FITNET and PAT...

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