Soil Salinity Inversion in Yellow River Delta by Regularized Extreme Learning Machine Based on ICOA

Soil salinization has seriously affected agricultural production and ecological balance in the Yellow River Delta region. Rapid and accurate monitoring of soil salinity has become an urgent need. Traditional machine learning models tend to fall into local optimal values during the learning process,...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 16; H. 9; S. 1565
Hauptverfasser:	Wang, Jiajie, Wang, Xiaopeng, Zhang, Jiahua, Shang, Xiaodi, Chen, Yuyi, Feng, Yiping, Tian, Bingbing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.05.2024
Schlagworte:	Accuracy Agricultural production Algorithms Artificial intelligence Artificial neural networks Back propagation networks chaotic mapping Coastal zone Comparative analysis Correlation analysis crayfish Ecological balance Ecology Energy consumption Environmental aspects Environmental monitoring Genetic algorithms improved crayfish optimization algorithm Learning algorithms Machine learning Mathematical optimization Measurement Monitoring Neural networks Optimization Optimization algorithms Performance evaluation Precipitation regularized extreme learning machine Remote sensing river deltas Rivers Saline soils Salinity Salinity effects Salinization Soil salinity soil salinity inversion soil salinization Soils, Salts in Support vector machines Topography Variables Vegetation Vegetation index Yellow River Yellow River Delta China Shandong China Bohai Sea Yellow River
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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