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Cascade-forward neural network
If you had searched GOOGLE with CASCADE CORRELATION NEURAL NETWORK YOU WOULD HAVE FOUND http://scholar.google.com/sc...

8 years ago | 1

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How can set a target value of a error of 0.001 between my target values, output values of trained neural network?
msegoal = 0.001*mean(var(target',1)) This results in a Rsquare of 99.9% Hope this helps. Greg

8 years ago | 0

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Answered
What 's the difference between nntool and nnstart ?
The documentation for all commands are obtained using the help and doc commands: help nntool doc nntool etc Hope t...

8 years ago | 0

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How can i do if i want to test the network created with new input ?
% Test the Network with new data ynew = net(xnew); enew = gsubtract(tnew,ynew); performancenew = p...

8 years ago | 0

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Answered
How to predict 1 and 3 time steps with time series in NAR and after each forecast a retraining has to be done by increasing the size of the training set by one period and sliding validation set by another period till last test set period
0. PLEASE use the braces {} to format your code. > My time series data has 150 points. I am using NARNET. I divide the data u...

8 years ago | 0

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Answered
Neural Network is it better to use all data to train the model and ignore test sample.
Typically, there are 3 data subsets, not 2, containing a total of N points : training, validation and test. The MATLAB default s...

8 years ago | 0

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Answered
How to know every output error in a neural network with multiple outputs?
[ net trainingrecord output error ] = train( net, input, target ); % Comment : output = net(input); error = target - out...

8 years ago | 0

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Answered
temperature forecast using nn
1. For N "O"-dimensional "O"utput target vectors corresponding to N "I"-dimensional "I"nput column vectors, the size of the data...

8 years ago | 0

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i am using ga to calculate the initial weight of nn. So what should be the fitness function for ga. I have taken 12 inputs and target is 1 so how can i write the fitness function.
You can choose any positive semi-definite increasing fitness function you want. The most common is help mse doc mse ...

8 years ago | 0

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normalizaiton using mapminmax neural network
Which divide function is used is irrelevant. The question should be: Does MATLAB automatically use the complete dataset or j...

8 years ago | 0

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How to add additional information in a neural network other than putting as input data?
No. All design (training and validation) data info must be implemented in the input/target information before training. Al...

8 years ago | 1

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Question on Narxnet with open-loop
WARNING: Cannot use a closeloop 0 lag delay for feedback. Although you can use an openloop 0 feedback delay, trying to clo...

8 years ago | 0

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When I use matlab neural network toolbox, what is the cost function of the training?
DEFAULT COMBINATIONS Regression, curve-fitting FITNET AND MEAN-SQUARE-ERROR (MSE) Time-series ...

8 years ago | 2

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Answered
Neural networks architectural problem
I have changed three misprints of 16 to 15. You have 15 MLPs each with 20 inputs HOWEVER, you have forgotten to state C,...

9 years ago | 0

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Transfer learning CNN with regression at the end?
In order to get a variety of answers you have to use a different initial random number state for each design. So, either us...

9 years ago | 0

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how to train, test and validate a set of images using neural network,and end up classifying them?
Have you thought about searching BOTH NEWSGROUP & ANSWERS for relevant posts? One of many trial sets of search words yields ...

9 years ago | 0

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How can I determine mean, standard deviation, minimum and maximum value of each type input and output in training, testing and validation data set, If i consider divide it randomly?
[ net tr y e ] = train(net,x,t); Obtain trnind, valind and tstind from tr. To see how to do this, just type, without the e...

9 years ago | 0

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Question

100 * 1835 / 2584 = 71% ... WHAT AM I MISSING?
How are reputations calculated? Greg

9 years ago | 2 answers | 0

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Question

How does the number of skipped lags affect the size of the timeseries input matrix IW ?
Unfortunately, temporary computer problems have prevented me from installing MATLAB. So I need to ask the following questions. ...

9 years ago | 0 answers | 0

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how to calculate the classification accuracy in neural network toolbox?
Search ot NEWSGROUP and ANSWERS with greg patternnet and greg patternnet tutorial Hope this helps. *Thank you f...

9 years ago | 0

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Is it necessary to initialize weights and biases while training neural network? If yes then how to initialize it?
1. See the patternnet documentation. help patternnet and doc patternnet 2. See my patternnet tutorials in the ...

9 years ago | 0

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By using Narnet to predict the future Price, we need determining the optimal lags to detemine the optimal hiddenlayesizes?
1. For unbiased prediction use divideblock so that the delays and weights are not determined by nontraining( i.e., validation an...

9 years ago | 0

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Answered
How can I normalize data between 0 and 1 ? I want to use logsig...
I like to calculate min, mean, std and max to detect outliers with standardized data (zero mean/unit variance). For normalizati...

9 years ago | 0

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Maximum variable size allowed by the program is exceeded
The numbers you have make no sense. Typically 1. The number of samples is much greater than the dimensionality [ I N ] = ...

9 years ago | 0

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patternnet algorithm for classification
Consider N I-dimensional input column vectors. Each is associated with 1 of c distinct classes and a corresponding c-dimensional...

9 years ago | 0

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Answered
How can I use the neural network with variable input length ?
Neural networks are functions that yield a specific input/output relation between constant length I-dimensional "I"nput vectors ...

9 years ago | 0

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Generate a sinusoid function to data
If you only have the three classes shown, it looks like they can be classified using their spectral representations via, for exa...

9 years ago | 0

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How not to normalize the data in patternnet function and how to do K-fold cross validation technique?
The optimal approach is to learn the best way to take advantage of existing MATLAB functions and structure. Although it is not...

9 years ago | 0

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Answered
What does the error "Error using bsxfun" mean in implementing FFNN?
The input matrix of N I-dimensional "I"nputs and corresponding output target matrix containing N O-dimensional "O"utputs have th...

9 years ago | 0

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Answered
Do I need to normalize data when using patternnet or Matlab will take care of it?
BY DEFAULT: All of the neural network training algorithms normalize inputs and targets to [ -1 1 ] AND denormalizes the output ...

9 years ago | 1

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