omar belhaj

Last seen: alrededor de 1 año hace | Con actividad desde 2014

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Best training and bad prediction !!!
I used MLP(fitting) artificial neural network(ANN) to predict solar irradiation, my problem is i have gotten best trainig and te...

casi 10 años hace | 0 respuestas | 1

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How to differentiate between Mse(training) and Mse(testing) ??
Hello, i would like to know how to differentiate between Mse(training) and Mse(testing) during training phases this is my part o...

casi 10 años hace | 1 respuesta | 0

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why I got bad correlation coefficient if I use a wide database ??
I developed a code for the prediction, but the problem is when I work with a wide database during training I got a bad correlati...

alrededor de 10 años hace | 0 respuestas | 0

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What is the appropriate Method to normalize inputs data ????
I used sigmoidal function as activation function in hidden layer (forecasting issues).who is interval can i choose to normalize ...

casi 11 años hace | 1 respuesta | 0

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Is it this command "net.divideParam.testRatio" use the data sets unseen by NN ???
So, if I’ve understood for example for this case my data sets periods 13 years net.divideParam.trainRatio = 75/100;( abou...

casi 11 años hace | 0 respuestas | 0

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What is the appropriate Method to normalize inputs data ????
I used sigmoidal function as activation function in hidden layer (forecasting issue).which interval can i choose to normalize my...

casi 11 años hace | 0 respuestas | 0

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Is it necessary to test a neural networks with data set unseen by ANN ??
Purpose: A neural networks, when properly trianed must have ability to generalize and not behave just like a memory. So, for...

casi 11 años hace | 1 respuesta | 0

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Differrence between feed forward & feed forward back propagation
I used neural netowrk MLP type to pridect solar irradiance, in my code i used fitnet() commands (feed forward)to creat a neural ...

casi 11 años hace | 3 respuestas | 0

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Normalization inputs data & dividing data for training - validation- test
Could you help me please I have two questions about neural networks for solar irradiance forecasting. I used MLP model (Fitti...

casi 11 años hace | 1 respuesta | 0

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It is necessary to reset (initialize) the weights during the learning period??
I am working on forecasting of radiation solar by Matlab and I have just beginner’s expertise with the program. it is necessary ...

más de 11 años hace | 0 respuestas | 0

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How i can to choose a good structure of neural networks( number of nodes in hidden layer)
I’am new to neural networks (for prediction) and I'm not sure how to go about trying to achieve better test error on my dataset....

más de 11 años hace | 1 respuesta | 0

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