Applications of Neural Networks in Processing and Regionalization of Radiation Data
Regionalization of the fields of climatological characteristics may be regarded as one of the most important tasks in data preparation and processing for TRY (Test Reference Years) determination. Broad spectrum of measured climatological characteristics may lead in extremely large number of their possible mutual combinations. But only some characteristics and their combinations are important for technical usage. Moreover, the optimal combination of climatological characteristics is strongly user-dependent.
KeywordsNeural Network Global Radiation Climatological Characteristic Multilayer Perceptron Neural Network Kohonen Network
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