Advances in Water Resources and Hydraulic Engineering 2009
DOI: 10.1007/978-3-540-89465-0_329
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River Ice Conditions Forecast by Artificial Neural Networks

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Cited by 3 publications
(2 citation statements)
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“…Within this system, the Zhongyun Canal conveys water at rates ranging from 230 to 175 m 3 /s, drawing water from the Zaohe Station into Luoma Lake. Meanwhile, the Xuhong River conveys water at rates between 120 to 100 m 3 /s, drawing water from the Pizhou Station and merging with the Fangting River towards the east into the Zhongyun Canal [7] .…”
Section: Current Status Of the Jiangsu Segment Of Phase I Of The East...mentioning
confidence: 99%
“…Within this system, the Zhongyun Canal conveys water at rates ranging from 230 to 175 m 3 /s, drawing water from the Zaohe Station into Luoma Lake. Meanwhile, the Xuhong River conveys water at rates between 120 to 100 m 3 /s, drawing water from the Pizhou Station and merging with the Fangting River towards the east into the Zhongyun Canal [7] .…”
Section: Current Status Of the Jiangsu Segment Of Phase I Of The East...mentioning
confidence: 99%
“…Kusumoto [34,35] analysed the fracture toughness of coarse ice and the effect of the sample size on the results. Wang [36] investigated the condition of river ice based on artificial neural networks and mechanical mechanisms. Li [37][38][39] analysed the relationship between bubbles and the ice intensity of ice, and determined the mechanics and reliability of an ice material by improving the Brazilian method.…”
Section: Introductionmentioning
confidence: 99%