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Artificial neural network for bearing defect detection based on acoustic emission

✍ Scribed by Zahari Taha; Khusnun Widiyati


Publisher
Springer
Year
2009
Tongue
English
Weight
485 KB
Volume
50
Category
Article
ISSN
0268-3768

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## Abstract Evapotranspiration (ET) is one of the basic components of the hydrologic cycle and is essential for estimating irrigation water requirements. In this study, an artificial neural network (ANN) model for reference evapotranspiration (ET~0~) calculation was investigated. ANNs were trained