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Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application

机译：杂交的极端学习机模型与SALP群算法：一种新型水文应用预测模型

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Zaher Mundher Yaseen; Hossam Faris; Nadhir Al-Ansari;
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年度 2020
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1. 一种新型异构集成极端学习机模型及其软测量应用 [J] . 马宁, 董泽东南大学学报（英文版） . 2020,第001期
2. Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application [J] . Zaher Mundher Yaseen, Hossam Faris, Nadhir Al-Ansari Complexity . 2020,第1期

机译：杂交的极端学习机模型与SALP群算法：一种新型水文应用预测模型
3. Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China [J] . Wu Lifeng, Zhou Hanmi, Ma Xin, Journal of Hydrology . 2019,第期

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5. Predictive Modeling and Sentiment Classification of Social Media Through Extreme Learning Machine [C] . Shafqat-UI-Ahsaan, Ashish Kumar Mourya, Parvinder Singh International conference on emerging trends in information technology . 2020

机译：极端学习机的社交媒体预测建模与情感分类
6. Applications of Information Theory and Machine Learning for Hydrologic Modeling [D] . Bennett, Andrew Robert. 2021

机译：信息理论与机器学习对水文建模的应用
7. Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform chaotic salp swarm algorithm and deep learning technique [O] . Aytaç Altan, Seçkin Karasu -1

机译：由X射线图像识别来自X射线图像的混合模型包括2D Curvele变换混沌SALP群算法和深度学习技术
8. Data-driven input variable selection for rainfall-runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines [O] . Taormina R, Chau KW 2015

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Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application

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