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# coqui

Active since 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 4 años ago | 1 answer | 0

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Question

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?

más de 5 años ago | 0 answers | 0

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Question

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...

más de 5 años ago | 1 answer | 0

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Question

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 ...

más de 5 años ago | 2 answers | 0

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Question

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...

más de 5 años ago | 1 answer | 0

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Question

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? ...

casi 6 años ago | 1 answer | 0

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Question

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...

casi 6 años ago | 1 answer | 0

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Question

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); ...

casi 6 años ago | 1 answer | 0

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Question

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 6 años ago | 3 answers | 0

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Question

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 6 años ago | 2 answers | 0

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Question

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 6 años ago | 1 answer | 1

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Question

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...

más de 6 años ago | 1 answer | 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 = ...

alrededor de 7 años ago | 0

Question

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,...

alrededor de 7 años ago | 1 answer | 0