宫响

副教授
中国海洋大学博士,博士后,现任数学系副主任兼应用数学教研室主任,青岛市人工智能海洋技术创新中心骨干,发表高水平论文40余篇,承担国家自然科学基金、国家博士后基金、青岛市博士后基金以及人工智能技术开发项目等10余项。多次获得“青岛科技大学先进工作者”、“青岛科技大学先进女职工”、青岛科技大学毕业生“我最喜爱的教师”等荣誉称号;指导本科生和研究生参加数学建模竞赛,获得省级以上奖项10余项;主持参与多项研究生和本科生课程教改项目。

A Dual-Attention Embedded CNN Model for Estimating Mixed Layer Depths in the Bay of Bengal

Variations in ocean mixed layer depth(MLD) show a significant impact on energy balance in the global climate systems and marine ecosystems. At present, the accuracy of modeling …

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Wentao Jia

基于随机森林模型的太阳辐射中长期变化分析

该文基于多源辐射观测资料,采用随机森林(RF)算法、季节差分自回归移动平均(SARIMA)模型及特征重要性等方法,对山东省济南市太阳辐射长期变化趋势和影响因素进行综合分析。结果显示:RF模型拟合月太阳辐射效果较好,决定系数和平均绝对百分比误差分别为0.92和9%,优于SARIMA模型;济南市及周边地区月太阳辐射1980—2020年经历“变暗”到“变亮”的过程 …

xingbin-jia

Evolution of 3-D Chlorophyll in the Northwestern Pacific Ocean Using a Gaussian-activation Deep Neural Network Model

Insufficient studies in characterizing vertical structure of Chlorophyll-a (Chl-a) in the ocean critically limit better understanding about marine ecosystem based on global climate …

xianzhi-zhao

Persistent Mixing Bursts in the Equatorial Pacific Thermocline Induced by Persistent Equatorial Waves

A recent study by Liu et al.(2020) suggested that due to the saturation of equatorially trapped planetary waves with different dynamical types, temporal periods, meridional and …

jingjing-zhang

Estimation of the Barrier Layer Thickness in the Indian Ocean Based on Hybrid Neural Network Model

Accurately and effectively estimating of the barrier layer thickness (BLT) is essential for the research of ocean thermodynamics, ocean dynamics, and air-sea interaction. …

yizhi-zhao

Estimation of the Barrier Layer Thickness in the Indian Ocean Based on Hybrid Neural Network Model

Accurately and effectively estimating of the barrier layer thickness (BLT) is essential for the research of ocean thermodynamics, ocean dynamics, and air-sea interaction. …

yizhi-zhao

Estimation of the Barrier Layer Thickness in the Indian Ocean Based on Hybrid Neural Network Model

Accurately and effectively estimating of the barrier layer thickness (BLT) is essential for the research of ocean thermodynamics, ocean dynamics, and air-sea interaction. …

yizhi-zhao

Estimation of Nitrate Concentration and Its Distribution in the Northwestern Pacific Ocean by a Deep Neural Network Model

As a fundamental nutrient for marine biogeochemical processes, the magnitude and spatial distribution of nitrate concentrations are insufficiently measured in the interior ocean. …

lixin-wang

Deep Sequence Learning for Prediction of Daily NO2 Concentration in Coastal Cities of Northern China

Nitrogen dioxide (NO2) is an important precursor of atmospheric aerosol. Forecasting urban NO2 concentration is vital for effective control of air pollution. This paper proposes a …

xingbin-jia

基于时间序列疏系数模型的太阳辐射年际变化趋势预测

利用1961—2016年山东省济南市太阳年总辐射量观测数据,通过模型识别和统计检验,对比分析时间序列模型AR(5)和ARIMA((1,2,4),1,0)的拟合结果。残差检验结果表明,疏系数模型ARIMA ((1,2,4),1,0)可用于预测地表太阳年总辐射量,预测结果显示2017—2025年济南市地表太阳辐射的年际变化整体呈增长趋势。对比多元线性回归模型结果 …

xingbin-jia