Ocean wave height series prediction with numerical long short-term memory
This paper investigates the possibility of using machine learning technology to correct wave height series numerical predictions. This is done by incorporating numerical …
This paper investigates the possibility of using machine learning technology to correct wave height series numerical predictions. This is done by incorporating numerical …
Estimating the ocean subsurface thermal structure (OSTS) based on multisource sea surface data in the western Pacific Ocean is of great significance for studying ocean dynamics …
Organic−inorganic halide perovskites have excellent intrinsic properties, such as long carrier lifetime, high photoluminescence quantum yield, and high gain, in whispering gallery …
The spatiotemporal variability of rainfall in the dry (October-March) and wet (April-September) seasons over eastern China is examined from 1901-2016 based on the gridded rainfall …
次表层叶绿素最大值(subsurface chlorophyll maxima, SCMs)广泛存在于全球各海域,该最大值层往往具有较高的海洋初级生产力和新生产力,因此研究其年际变化特征对深入理解气候变化影响下海洋生态系统变化有重要意义。本文采用一维物理-生态耦合模型 …
Summary In view of the result and performance of control are affected by the existence of input constraints and requirements, adaptive multi‐dimensional Taylor network (MTN) …
Numerous studies have revealed that the sparse spatiotemporal distributions of ground-level PM2.5 measurements affect the accuracy of PM2.5 simulation, especially in large …
研究一类具有有限时间输出约束的切换非线性时滞系统的控制器设计问题.为了在有限时间将输出跟踪误差限制在预定边界内,引入一种改进的有限时间性能函数(FTPF).在控制器的设计过程中,利用障碍Lyapunov函数来解决输出约束问题.然后,将多维泰勒网(MTN)的逼近特性与自适应反步技术相结合,提出一种新的自适应MTN控制方法.在该方法中,通过设计 …
North Pacific ocean desert (NPOD) refers to the subtropical North Pacific Ocean of low chlorophyll-a (Chl-a) concentrations, as the largest ocean desert globally. Studies have …