L’application De L’approche Neuronale Pour La Prévision Du Rayonnent Solaire

Résumé: Artificial intelligence had a big influence in the various sciences by the precision and speed of its deferent applications in the conclusion of the result, it has become a refuge for all researchers, and through our present research we had looked onto a big number of researches in physics and statistics disciplines taking refuge on artificial intelligence algorithms especially the neural network algorithm the most precise result while guessing or predicting, but they were all focused on showing the results without addressing the process and steps of the program leading to these results. And in this research, we wanted to cover this point and focus on the operational side without theories, and we have chosen the prediction of the amount of daily solar radiation without talking about the nature of this radiation or its physical and structural properties, and we have just considered it a data requiring an intelligent processing system that would analyze it and then exercise it to know how to predict for it in the future, while highlighting the different techniques used by artificial intelligence to predict in addition to the best kind of neural network specialized in prediction, we also highlighted a set of states ready in Matlab program that students and researchers may use to create a neural network to predict or guess.

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