coqui

Con actividad desde 2014

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By using Narnet to predict the future Price, we need determining the optimal lags to detemine the optimal hiddenlayesizes?
To determine the hiddenlayesizes: 1/we apply a trial and error method by using lags=1 (default value), or 2/we must verify...

más de 8 años hace | 1 respuesta | 0

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Can us trained Functional link neural network (FLANN) based on Levenberg-Marquardt Method?
Can us trained Functional link neural network (FLANN) based on Levenberg-Marquardt Method?

casi 10 años hace | 0 respuestas | 0

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Data normalization in neural network
I have used this formula to normalize the data between -1 and 1: Y = -1 + 2.*(data - min(data))./(max(data) - min(data)); ho...

casi 10 años hace | 1 respuesta | 0

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Neural network (fitnet) and data decomposition?
Can you help me to rectify these code, I used fitnet to predict future index. I need to decompose the data only to training and ...

casi 10 años hace | 2 respuestas | 0

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How we can define the number of expansion of first input by using trigonometric functional link artificial neural network?
In trigonometric functional link artificial neural network, each input sample is expanded to N sine terms, N cosine terms plus t...

casi 10 años hace | 1 respuesta | 0

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to prove the robustness of neural network model what is the best model which can compare to it ? (especially in order to forecast)
to prove the robustness of neural network model what is the best model which can compare to it ? can you propose a model? ...

alrededor de 10 años hace | 1 respuesta | 0

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input transformation in backpropagation neural network (prediction task)
I have used historical prices to predict future price based on backpropagation neural network (fitnet). I have obtained a mse ea...

alrededor de 10 años hace | 1 respuesta | 0

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By including a moving window of fixed length in the input vector of MLP, is the Back-propagation ANN equivalent to NAR model?
If this is the case, how we can add the moving window? Supposing that the lag is equal to 3, for example: N= lenght(data); ...

alrededor de 10 años hace | 1 respuesta | 0

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how can use static feedforward neural network to predict futre observation
As newff the appropriate choice or we must use others functions like feedforwardnet???

más de 10 años hace | 3 respuestas | 0

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how can divide the sample into two part (training and test) in Narnet
By using Matlab code the divide function which I have employed is divideblock therefore I necessarily divided the sample into ...

más de 10 años hace | 2 respuestas | 0

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trial and error approach to find optimal hidden neurones number
I have decomposed the data into three parts: 70% (training), 10% (validation) and 20% (testing). When I used trial and error app...

más de 10 años hace | 1 respuesta | 1

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optimal hidden nodes number
Dear friend, I want to determine the optimal number of hidden nodes using narnet in order to predict the next'day index, i ha...

casi 11 años hace | 1 respuesta | 0

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How can predict multi step ahead using Narnet
Thank you Greg, I find these expressions to compute Hub: 1) Hub = -1 + ceil( (Ntrneq-O) / (MXFD*O + O +1) ) 2) Hub = ...

más de 11 años hace | 0

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how can find the optimal delays and number of hidden nodes in narnet for forecasting task?
I have tried with these code but I haven't found solutions: 1/ Optimal timelags? N = length(Target) zy = zscore(Target,...

más de 11 años hace | 1 respuesta | 0

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How can predict multi step ahead using Narnet
I want to predict the future prices, I have used only the daily historical prices as input. I can predict only one step ahead us...

más de 11 años hace | 3 respuestas | 0

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