In this paper, a multi-dimensional Taylor network (MTN)-based adaptive tracking control approach is proposed for a class of switched nonlinear systems with input nonlinearity. …
In this paper, an adaptive decentralized control approach is proposed for a class of large-scale nonlinear systems with unknown dead-zone inputs using neural network. Firstly, the …
The impacts of different wave spectrum formulations with high frequency tail on the Stokes drift are studied in this paper. Two wave spectrum formulations are described. One is …
Triangulated irregular networks (TINs) are widely used in terrain visualization due to their accuracy and efficiency. However, the conventional algorithm for multi-scale terrain …
太阳辐射的预估研究对太阳能资源的有效利用有重要意义。应用山东省福山、莒县、济南三所气象站2000—2003年的数据,建立Elman神经网络模型,对日总辐射曝辐量进行时间序列预估研究。结果表明:Elman神经网络预估效果受天气状况影响较大,晴好天气下日总辐射预估结果较精确,福山站预估与观测差值最小,范围在-2～2 MJ·m~ (-2)。城市大气污染对日曝辐量影 …
The prediction ability of the climate system is highly depended on the efficient integration of observations and simulations of the Earth, which is regarded as a canonical example …
In this paper, we investigate the texture synthesis method generated from the hand-made sketches. In recent years, GANs have been vigorously studied in the field of image synthesis …
文章基于2015年中国综合社会调查数据和省际截面数据,采用SE-DEA和Ologit模型结合的方法实证研究了公众对政府环保成效的满意程度。结果表明,公众无法准确评价政府环保成效,并且在政府环保成效较高的地区,公众对政府环保工作满意程度评价有下降趋势。此外,环保投资率、环保劳动力投入率以及环保工资的比率与政府环保工作的公众满意度均为正向相关关系。因此,提升公众 …
针对土壤养分光谱检测中特征波长优选问题，提出一种多分类器融合的特征波长提取方法。以不同地区土壤样品为研究对象，采集可见-近红外光谱，测定总碳、总氮、总磷含量；采用连续投影算法（SPA）、无信息变量消除法（UVE）、遗传算法（GA）、相关系数法（CC）提取特征波长，引入投票法与加权投票法融合多算法结果，利用偏最小二乘回归（PLSR）构建预测模型。结果表明，多分 …
Introduction: We aimed to estimate the frequency of each AT(N) (beta-amyloid deposition [A], pathologic tau [T], and neurodegeneration [N]) profile in different clinical diagnosis …