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Partition of data based on percentages (for cross-validation)
1. NOTE: Contrary to most statistical regression subroutines, MATLAB Neural Network subroutines operate on COLUMN VECTORS! 2...

8 years ago | 0

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Recurrent neural network for real-time prediction
Words are nice but including code is much better. Which training algorithm are you using ? ...NARXNET ? Requiring a target ...

8 years ago | 0

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Plot a graph MSE vs number neurons in hidden layer on matlab
Search both NEWSGROUP and ANSWERS using the search words Hmin Hmax The number can be whittled down via ...

8 years ago | 0

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How to partition data in a very specific way
The NN Toolbox can be used to obtain many sufficiently independent estimations of error by replacing stratification with double ...

8 years ago | 0

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Time Delay Neural Network: How to separate measurements in dynamic data for the use either in the training or the test data?
Your explanation is too confusing. 1. Timeseries analysis contains one basic assumption: Every contiguous subset of the t...

8 years ago | 0

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Derive a Neural Network Equation
https://www.mathworks.com/matlabcentral/newsreader/view_thread/341631#936181 Hope this helps. *Thank you for formally acce...

8 years ago | 0

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How can I train neural network with a large data
INSUFFICIENT INFORMATION!!! 1. REGRESSION or CLASSIFICATION? 2. DIMENSIONALITY OF INPUT & OUTPUT VECTORS? If you haven...

8 years ago | 1

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can't view confusion matrix in matlab
Use the training record tr from [ net tr ] = train(net,x,t) to find the separate sets of tr/val/tst indices. From these you ca...

8 years ago | 0

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Is the validation data in a Neural Network to fit a function using Bayesian Regularization irrelevant?
That is a MATLAB design flaw. The older versions of TRAINBR do not allow a val subset. I have complained several times about tha...

8 years ago | 1

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How to generate colored gaussian noise of a certain length?
ANSWERS COLORED NOISE 81 HITS NEWSGROUP COLORED NOISE 255 HITS GOOGLE MATLAB...

8 years ago | 0

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Neural Network Test Data
It looks like a case of overtraining an overfit net. If you have O-dimensional outputs and use the default Ntrn ~ 0.7*N then you...

8 years ago | 0

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perform command in neural netwrok
help perform doc perform %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% net = patternnet; performFcn = net.performFcn %...

8 years ago | 1

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Comparing the classification results ?
If the other classifiers do not use a validation set, then you should not either. In fact you should use the exact same training...

8 years ago | 0

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Can please someone explain the Artificial Neural Network code below
Search 1. NEWSGROUP greg quickies 2. NEWSGROUP fitnet Hmin Hmax 3. ANSWERS fitnet Hmin Hmax ...

8 years ago | 1

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How can I set the normalization of the performance parameter in training a neural network?
1. You do not have to worry about normalizaion. It is a default. 2. Accept all defaults except the number of hidden nodes. ...

8 years ago | 0

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Optimal hidden nodes number
I = 5, O = 1, N = 46824 Ntrn ~ 0.7*N = 32877 Ntrneq = Ntrn*O = 32877 Hub = (Ntrneq-O)/(I+O+1) = 32876/7 ~ 4682 For H <<...

8 years ago | 0

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Is my neural network also using testing data to predict and not only the training and validation data?
1. a. I'm glad that you agree with me that DIVIDEBLOCK should be the default for time series prediction ( search NEWSGROUP...

8 years ago | 0

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How does the input to a neural network change for a given input delay?
It is not exactly clear what you mean. When you have an input 1:N with a timedelay net that has a delay d, the first d input...

8 years ago | 0

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Optimal hidden nodes number
This is the approach I use. First I determine how many training equations are used Ntrneq = Ntrn*O Ntrn = number of t...

8 years ago | 1

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Machine learning for classificaiton, testing it, then including the testing set into a new training set?
The method that I used with a radar signal database that was sporadically updated over many years: 1. Extract the reflection...

8 years ago | 0

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how to divide data into data testing and training
The NN Toolbox default is 15% Testing 85% Design --- 70% Training --- 15% Validation The validation subset is a non...

8 years ago | 1

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Is it possible to create a CNN with real output?
The simplest way is to represent the categories with integers >> categories = [ 1 3 5 4 2] >> target = full(ind2vec(ca...

8 years ago | 0

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Why neural network sometimes performs worse when additional input variables are used?
1. You don't say what n is 2. How is the net suppose to know that n inputs is sufficient? 3. All it does is start somewher...

8 years ago | 0

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Populate columns of matrix without for loop using input from a vector of intergers
>> clear all classindices = [1 3 5 4 2 ]; classmatrix = full(ind2vec(classindices)) classmatrix = 1 0 ...

8 years ago | 0

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HI all I am new to neural network toolbox. I have data set of some company and i want to design a network for Stock market prediction of price of that particular company. how can i set threshold error of a NARX network
Please use: 1. Upper case for cells 2 Lower case for doubles 3. Subscript "o" for openloop 4. Subscript "c" for close...

8 years ago | 0

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How to use Neural network time series tool to tune a temperature controller?
To begin with 1. In most of the neural network literature, x = input and t = target. 2. Therefore, it is disconcerting to ...

8 years ago | 0

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In nprtool, after performing training there is a testing section in which there are two dropdown ,one for input and one for target. Why is the target dropdown in testing section? There should be only input dropdown and the net should give the output
How do you know the output is acceptable? I would use either 0 <= NMSE = mse(output - target)/mean(var(target',1)) <=...

8 years ago | 0

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How can I set the parameters of the feedforward neural network?
For run of the mill problems, you can use default settings except for a. The number of hidden nodes (default is 10) b. T...

8 years ago | 0

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How to organize the input and target samples for neural network ?
It doesn't make any difference. By default, the algorithm will randomize the order. Hope this helps. Greg

8 years ago | 0

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Is it possible to train a NARX model using multiple data sets from the same time series?
Theoretically, it can be done in a quadruple loop m = 1 : Ntrials n = 1 : 40 % 40 locations per trial i = 3 ...

8 years ago | 0