Zobrazeno 1 - 2
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pro vyhledávání: '"Yan Soerbakti"'
Publikováno v:
Komunikasi Fisika Indonesia. 18:1
This aims of this study is to predict particulate matter (PM10) levels in Pekanbaru using back propagation artificial neural networks (ANN) based on weather factors. The data used in the form of data from 2014 – 2017 as training data and 2018 data
Autor:
Andri Saputra, Defrianto Defrianto, Saktioto Saktioto, Yan Soerbakti, Romi Fadli Syahputra, Wahyu Candra
Publikováno v:
Komunikasi Fisika Indonesia. 16:103
Maturity progress of palm fruit is greatly depending on the availability of nutrients and environments. Determining maturity level of palm fruit is important to evaluate the quality of palm oil fruits. The younger or too mature fruits will produce po