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why target data is only binary in the pattern recognition (nnstart) ??
Because the desired output probabilities are 1 for the correct class and 0 for the incorrect classes. Configured correctly, a...

11 years ago | 0

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poor performance by neural network
FITNET is for regression and curve-fitting. The performance function is mean-square-error (MSE) which depends on the scale o...

11 years ago | 0

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Using 5-fold cross validation with neural networks
You probably just need to transpose your input and target matrices. However, to check previous posts consider ANSWERS ...

11 years ago | 0

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neural network how to orgnize the data
[ I N ] = size(input) % [20 200 ] [ O N ] = size(target) % [ 19 200 ] If you made a mistake and each class has 200 sa...

11 years ago | 0

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i want to make code of single layer neural network with classification.
Enter into the command line help patternnet Then try doc patternnet to see if there is anything not covered ...

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measure of the error contributed by each neuron in neural network
1. Simple approach: For each hidden node: Zero all input weights to the singly selected hidden node and record the perfor...

11 years ago | 0

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How do I use the Neural Network?
There are very simple examples in the command line help and doc documentation help fitnet % curvefitting and regression ...

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Neural Nets with Constraints
It could be done but that would require modifying code to the point where it is too complicated and slow. For example, stop afte...

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Converged neural network states
You have to explicitly reset the RNG state to the same initial value. To illustrate this. Check the RNG state before each train...

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Which neural network toolbox can help me getting exact feedback parameters?
It is not true that patternet can only classify exclusive classes. If, instead of {0,1} unit vector target columns, additiona...

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dividing the data in neural network
The data is automatically divided with the default ratio 0.7/0.15/0.15. This is usually good enough. However, if you wish ...

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Cancel some of the weights in a neural network
I' pretty sure that if you check the custom network section in the documentation, you can learn how to set the learning rate of ...

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how to resolve validation stop?
There is a good reason for validation stopping! It tells you that even though the training set error is decreasing, the nontrain...

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Bayesian Neural Network implementation
Documentation help trainbr doc trainbr For more examples, search the NEWSGROUP and ANSWERS using trainbr Hope ...

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how can i use weigths for prediction?
After training you will have a net with weights. Even if the number of weights is small, it is often difficult to understand wha...

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How can I use different delays on inputs using the neural network toolbox?
AFAIK delays are the same for all inputs. Similarly for output feedback delays. As long as you do not have too many ineffe...

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NARX Neural Network - Adding a constraint
Scale target prices to [ 0 1 ] Estimate 1. average >=0 2. high - average >=0 3. average - low >= 0 Use 'l...

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Adding new test dataset to Neural Network
If you have test data inputs but do not know the corresponding correct outputs, the best you can do is estimate the output. W...

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Question

How to get and set the state of the RNG using nntool?
The purpose is to duplicate a sequence of nntool NN designs using the command line.

11 years ago | 0 answers | 0

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Implementing initial weights and significant feedback delays in a NARNET
1. Unfortunately, the form of NNCORR that you are using is BUGGY! PROOF: a. plot(-(N-1):N-1, autocorrT) b. minmax...

11 years ago | 1

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Answered
How to customize performance function in MATLAB neural network.
1. Start with a copy of mse (or other performance function) a. Enter the command: type mse b. Copy and save the resul...

11 years ago | 0

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Why I cant repeat nntool result?
Frequently, the reason why two supposedly equivalent trainings don't yield the same result is because the initial state of the r...

11 years ago | 1

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How to find sensitivity of feedforward net in matlab?
You forgot to take into account that the input is 13 dimensional

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Out of memory during neural network training
You will never be able to solve a problem of that size. I suggest 1. Using feature extraction to SUBSTANTIALLY reduce the in...

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How to do forecasting with Layered Recurrent Neural Network?
There is no open loop to close run the codes in help layrecnet and doc layrecnet and look at the circuit dia...

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Regressin equation from neural network does not match to net(x)
You did not take into account the default minmax normalization of inputs and targets See http://www.mathworks.com/matlabce...

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How to create target for neural network
You cannot define a 512 dimensional input space with 80 examples. Therefore, use feature extraction to substantially reduce t...

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Function of specifying spread value while using newpnn function of neural networks??
> i am getting output for same as trained feature I do not understand what that is supposed to mean. > output for detecte...

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Why Neural Network Output is different every time???
Initial weights and data division are random unless you initialize the random number generator to the same state before training...

11 years ago | 1

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how to deal with out of memory error when training a large data set or large neural network narx
What are 1. input and target 2. size(input), size(target) 3. Significant lags of a. target autocorrelation functio...

11 years ago | 0