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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...
fast 10 Jahre vor | 0 Antworten | 1
0
AntwortenFrage
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...
fast 10 Jahre vor | 1 Antwort | 0
1
AntwortFrage
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...
etwa 10 Jahre vor | 0 Antworten | 0
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 ...
fast 11 Jahre vor | 1 Antwort | 0
1
AntwortFrage
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...
fast 11 Jahre vor | 0 Antworten | 0
0
AntwortenFrage
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...
fast 11 Jahre vor | 0 Antworten | 0
0
AntwortenFrage
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...
fast 11 Jahre vor | 1 Antwort | 0
1
AntwortFrage
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 ...
fast 11 Jahre vor | 3 Antworten | 0
3
AntwortenFrage
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...
fast 11 Jahre vor | 1 Antwort | 0
1
AntwortFrage
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 ...
mehr als 11 Jahre vor | 0 Antworten | 0
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....
mehr als 11 Jahre vor | 1 Antwort | 0
