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Advance in Research of Ecology and Landscape Reconstruction of the River Floodplain In China

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湿地科学 2008年第1期6卷 80-86页

作者： QIAO Lifang QI anguo zhang Yichuan College of Landscape Architecture Henan Institute of Science and Technology Xinxiang 453003 Henan P. R. China

The research of ecology and landscape reestablishment of river floodplain is considered favorable to its conservation and *** similarity and difference among river floodplain,wetland,riverside and shore have been reviewed,as well as the progress in the research of floodplain ecology reestablishment in quantitative evaluation,vegetation restoration,the influence on animal habitat and the application of eco-engineering;and of the landscape reestablishment in resource development and utilization,landscape feature and changes,landscape function,structure and *** potentially important fields are expected to be the change of landscape pattern in different scales,the reasonable protection and utilization in the floodplain tourism,the simulating and monitoring of landscape dynamics,the planning and designing methods of floodplain landscape and the management of floodplain ecosystems.

关键词：生态再造景观改造中国洪水

Prediction of Logistics Demand via Least Square Method and Multi-Layer Perceptron

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Journal of Donghua University(English Edition) 2020年第6期37卷 526-533页

作者：魏乐琴张安国 School of Humanities and TeachersEducation Wuyi UniversityWuyishan 354300China College of Physics and Information Engineering Fuzhou UniversityFuzhou 350108China

To implement the prediction of the logistics demand capacity of a certain region,a comprehensive index system is constructed,which is composed of freight volume and other eight relevant economic indices,such as gross domestic product(GDP),consumer price index(CPI),total import and export volume,port's cargo throughput,total retail sales of consumer goods,total fixed asset investment,highway mileage,and resident population,to form the foundation for the model *** on the least square method(LSM)to fit the parameters,the study obtains an accurate mathematical model and predicts the changes of each index in the next five *** artificial intelligence software,the research establishes the logistics demand model of multi-layer perceptron(MLP)neural network,makes an empirical analysis on the logistics demand of Quanzhou City,and predicts its logistics demand in the next five years,which provides some references for formulating logistics planning and development strategy.

关键词： logistics demand least square method(LSM) multi-layer perceptron(MLP) prediction strategic planning

Regional Logistics Demand Forecast Based on Least Square and Radial Basis Function

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Journal of Donghua University(English Edition) 2020年第5期37卷 446-454页

作者：魏乐琴张安国 School of Humanities and Teachers'Education Wuyi UniversityWuyishan 354300China College of Physics and Information Engineering Fuzhou UniversityFuzhou 350108China

Regional logistics demand forecast is the basis for government departments to make logistics planning and logistics related *** has the characteristics of a small amount of data and being nonlinear,so the traditional prediction method can not guarantee the accuracy of *** Xiamen City as an example,this paper selects the primary industry,the secondary industry,the tertiary industry,the total amount of investment in fixed assets,total import and export volume,per capita consumption expenditure,and the total retail sales of social consumer goods as the influencing factors,and uses a combining model least square and radial basis function(LS-RBF)neural network to analyze the related data from years 2000 to 2019,so as to predict the logistics demand from years 2020 to *** model can well fit the training data,and the experimental results obtained from the comparison between the predicted value and the actual value in 2019 show that the error rate is very ***,the prediction results are reasonable and *** method has high prediction accuracy,and it is suitable for irregular regional logistics demand forecast.

关键词： regional logistics demand forecast least square and radial basis function(LS-RBF)

Performance Enhancement of Reservoir Computing with Multi-Clustered Structure

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Performance Enhancement of Reservoir Computing with Multi-Cl...

Consensus Control of A Class of Second-order Nonlinear Multi-agent Systems Based on Distributed Adaptive Protocol

第37届中国控制会议

作者： Zheng Xu anguo zhang Wei Zhu School of Mechanical Engineering Nanjing University of Science and Technology Research Institute of Ruijie Ruijie Networks Co. Ltd.

Reservoir computing（RC） is an attractive model of recurrent neural networks. In RC framework, a sparse interconnected hidden layer called reservoir, is the only training-required component that the simple linear regression method is capable to train it. This advantage makes the RC easier to implement and apply to engineering application than other ***, many studies have been focused on optimizing the performance of RC via learning algorithms or topological structures, which have been demonstrated critical to RC. In this paper, we propose a novel reservoir network with multi-clustered structure which is organized according to a developmental time windows algorithm. Experimental results showed that the model can significantly reduce the computational errors and standard deviation of the errors on the numeric prediction benchmark of Mackey-Glass chaotic time series. Moreover, we found that there exist the optimal values of the cluster size and time window size, where RC reaches the best performance in terms of computational error. And interestingly, in this case, the reservoir network exhibits the largest Shannon information entropy of neuronal activity patterns, indicating that information can be effectively transmitted in neural networks with complex dynamics. Our results showed that the multi-clustered generating method effectively promote the computational capability of reservoir computing.

关键词： Reservoir computing Multi-cluster structure Information entropy

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Consensus Control of A Class of Second-order Nonlinear Multi...

第30届中国控制与决策会议

作者： anguo zhang Shuxun zhang Qing Chen Wei Zhu Research Institute of Ruijie Ruijie Networks Co.Ltd The Xinjiang Technical Institute of Physical & Chemical Chinese Academy of Sciences University of the Chinese Academy of Sciences Xinjiang Laboratory of Minority Speech and Language Information Processing College of Automation Chongqing University

In this paper, we focus on the consensus control problem for a class of second-order nonlinear multi-agent system with bounded external disturbances. And a distributed adaptive control law is proposed to solve the problem. By using Lyapunov function theory, we prove the stability of the proposed control protocols, and derive a sufficient condition for consensus convergence of the system. Unlike the results that given in many literature, the nonlinear functions of system dynamics here are not necessary to satisfy any limitations of the global Lipschitz or Lipschitz-like ***, the method proposed in this paper has more applicability and usability in practical engineering ***, simulation examples are provided to illustrate the theoretical analysis.

关键词： Consensus Control Multi-Agent System Nonlinear System

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应用小波通道注意力网络的地震数据重建方法

石油地球物理勘探 2024年第1期59卷 31-37页

作者：刘沛王长鹏董安国张春霞张讲社长安大学理学院陕西西安710064 西安交通大学数学与统计学院陕西西安710049

重建缺失的地震道是地震数据处理的关键环节之一。近年来提出了多种基于深度学习理论的地震数据重建方法。然而,这些方法中常用的卷积运算只能捕捉到地震数据的局部特征,没有充分利用全局信息。另外,池化操作也会造成特征图信息的丢失,... 详细信息

重建缺失的地震道是地震数据处理的关键环节之一。近年来提出了多种基于深度学习理论的地震数据重建方法。然而,这些方法中常用的卷积运算只能捕捉到地震数据的局部特征,没有充分利用全局信息。另外,池化操作也会造成特征图信息的丢失,从而破坏地震反射的细节特征。为此,提出了基于小波通道注意力网络的地震数据重建方法。哈尔(Haar)小波变换能够有效提取信号的多尺度特征,并在上采样过程中避免信息的丢失;高效通道注意力模块通过对不同通道特征图之间的相关性进行建模,能实现全局信息的充分利用。合成和实际地震数据的实验结果表明,与具有代表性的深度学习方法相比,文中所提出的网络模型可以产生更准确的重建结果。

关键词：地震数据重建随机缺失深度学习哈尔小波变换高效通道注意力

维普期刊数据库博看期刊

Adaptive Cooperative Tracking Control for A Class of High-Order Nonaffine Nonlinear Multi-Agent Systems

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Adaptive Cooperative Tracking Control for A Class of High-Or...

第30届中国控制与决策会议

作者： anguo zhang Yongcheng Zhou Qing Chen Shiyin Gong Research Institute of Ruijie Ruijie Networks Co.Ltd State Key Laboratory of Advanced Power Semiconductor Devices Zhuzhou CRRC Times Electric Co. Ltd College of Automation Chongqing University Hunan Railway Professional Technology Institute of Science and Technology

This paper investigated the adaptive cooperative tracking control for a class of high-order nonaffine nonlinear multi-agent *** effective distributed adaptive control strategy was proposed only based on the local state information of the network neighbor *** main contribution was a novel dynamics transformation that converted the nonaffine system into an affine system through the mean value *** Basis Function Neural Networks（RBFNNs） were used to approximate the unknown nonlinear function of the multi-agent systems,and a Lyapunov function was designed for the robust adaptive synchronization control *** the end,simulation results demonstrated the effectiveness of the proposed control method.

关键词： Multi-Agent System Nonaffine Nonlinear System Cooperative Control Neural Adaptive Control

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刺参养殖现状及展望

科学养鱼 2007年第5期29卷 4-5页

作者：张安国辽宁医学院动物科学技术学院 121001

近10余年来，随着全球海参自然资源日趋枯竭与国内海参消费持续增长，我国刺参养殖呈现迅猛发展态势。尤其在烟台、威海、大连、青岛等地，刺参现已成为举足轻重的水产养殖品种，并持续引起各界业主广泛关注。因此，刺参种苗的工厂化培... 详细信息

近10余年来，随着全球海参自然资源日趋枯竭与国内海参消费持续增长，我国刺参养殖呈现迅猛发展态势。尤其在烟台、威海、大连、青岛等地，刺参现已成为举足轻重的水产养殖品种，并持续引起各界业主广泛关注。因此，刺参种苗的工厂化培育技术和养殖技术随之兴起。目前，国内刺参养殖规模不断扩大，养殖方式也多种多样。本文对我国刺参养殖技术的研究概况作一综述，以期为刺参养殖提供理论依据。

关键词：养殖现状刺参展望水产养殖品种养殖技术持续增长自然资源培育技术

双台子河口两种滩涂埋栖性贝类的营养价值及安全性分析评价

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水产学报 2016年第9期40卷 1497-1504页

作者：张安国邵森林赵凯李晋大连海洋大学水产与生命学院国家海洋环境监测中心盘山文蛤原种场辽宁省盘锦市海洋水产研究所

为全面评价文蛤和四角蛤蜊的营养价值和食用安全性,采用常规方法对这两种滩涂埋栖性贝类的一般营养成分和Cd、As、Cr及Hg等重金属含量进行了分析。结果显示,文蛤和四角蛤蜊的粗蛋白质含量均较高,分别为58.24和57.38 g/100 g;灰分含量分... 详细信息

为全面评价文蛤和四角蛤蜊的营养价值和食用安全性,采用常规方法对这两种滩涂埋栖性贝类的一般营养成分和Cd、As、Cr及Hg等重金属含量进行了分析。结果显示,文蛤和四角蛤蜊的粗蛋白质含量均较高,分别为58.24和57.38 g/100 g;灰分含量分别为18.35和25.39 g/1 00 g;粗脂肪含量均较低。文蛤和四角蛤蜊氨基酸总量分别为44.87和37.20 g/100 g,其中必需氨基酸含量分别为18.39和15.16 g/100 g,呈味氨基酸含量分别为18.89和15.58 g/100 g。文蛤和四角蛤蜊中Cd的含量最高,Hg的含量最低。研究表明,文蛤及四角蛤蜊均为营养价值、经济价值较高的滩涂埋栖性贝类,且文蛤在蛋白质、氨基酸组成与含量方面更优。文蛤和四角蛤蜊中Cr、Hg符合我国《无公害食品水产品中有毒有害物质限量》等卫生要求,而Cd、As含量超标。文蛤和四角蛤蜊中的重金属含量可能对人体存在一定的摄食健康风险。

关键词：文蛤四角蛤蜊营养成分氨基酸重金属安全性评价