Statistica
11 Domande
                        0 Risposte
RANK
34.512
                          
                          
of 300.381
                        
REPUTAZIONE
1
                           
                        
CONTRIBUTI
                          11 Domande
                          0 Risposte
ACCETTAZIONE DELLE RISPOSTE 
                            54.55%
                        
VOTI RICEVUTI
1
RANK
of 168.477
CONTRIBUTI
                            0 Problemi
                            0 Soluzioni
PUNTEGGIO
0
NUMERO DI BADGE
0
CONTRIBUTI
0 Post
CONTRIBUTI
0 Pubblico Canali
VALUTAZIONE MEDIA
CONTRIBUTI
0 Punti principali
NUMERO MEDIO DI LIKE
Feeds
Domanda
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...
oltre 9 anni fa | 0 risposte | 1
0
risposteDomanda
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...
quasi 10 anni fa | 1 risposta | 0
1
rispostaDomanda
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...
circa 10 anni fa | 0 risposte | 0
0
risposteDomanda
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 ...
oltre 10 anni fa | 1 risposta | 0
1
rispostaDomanda
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...
oltre 10 anni fa | 0 risposte | 0
0
risposteDomanda
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...
oltre 10 anni fa | 0 risposte | 0
0
risposteDomanda
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...
oltre 10 anni fa | 1 risposta | 0
1
rispostaDomanda
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 ...
oltre 10 anni fa | 3 risposte | 0
3
risposteDomanda
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...
oltre 10 anni fa | 1 risposta | 0
1
rispostaDomanda
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 ...
oltre 11 anni fa | 0 risposte | 0
0
risposteDomanda
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....
oltre 11 anni fa | 1 risposta | 0
