ON THE ISOMORPHISMS OF SMOOTH ALGEBRAIC CURVES (Ⅰ)

ＯＮＴＨＥＩＳＯＭＯＲＰＨＩＳＭＳＯＦＳＭＯＯＴＨＡＬＧＥＢＲＡＩＣＣＵＲＶＥＳ（Ⅰ）ＤＵＨｏｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｎｉｃａ，Ｂｅｉｊｉｎｇ１０００８０，Ｃｈｉｎａ）Ａｂｓｔｒａｃｔ：Ｉｎｔｈｉ...     

LIMIT THEOREMS FOR SUMS AND MAXIMA OF MIRWISE NEGATIVE QUADRANT DEPENDENT RANDOM VARIABLES

ＬＩＭＩＴＴＨＥＯＲＥＭＳＦＯＲＳＵＭＳＡＮＤＭＡＸＩＭＡＯＦＭＩＲＷＩＳＥＮＥＧＡＴＩＶＥＱＵＡＤＲＡＮＴＤＥＰＥＮＤＥＮＴＲＡＮＤＯＭＶＡＲＩＡＢＬＥＳ￥ＱＩＹｏｎｇｃｈｅｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，Ａｃａｄｅｍｉａ...     

ASYMPTOTICS OF THE “MINIMUM L_1-NORM”ESTIMATES IN A PARTLY LINEAR MODEL

ＡＳＹＭＰＴＯＴＩＣＳＯＦＴＨＥ“ＭＩＮＩＭＵＭＬ＿１－ＮＯＲＭ”ＥＳＴＩＭＡＴＥＳＩＮＡＰＡＲＴＬＹＬＩＮＥＡＲＭＯＤＥＬ￥ＳＨＩＰｅｉｄｅ；ＬＩＧｕｏｙｉｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｎｉｃａ，Ｂｅ...     

A ROBUSTNESS ANALYSIS OF THE MUSIC AND THE MINIMUM－NORM ALGORITHMS WITH RESPECT TO CORRELMED NOISE

ＡＲＯＢＵＳＴＮＥＳＳＡＮＡＬＹＳＩＳＯＦＴＨＥＭＵＳＩＣＡＮＤＴＨＥＭＩＮＩＭＵＭ－ＮＯＲＭＡＬＧＯＲＩＴＨＭＳＷＩＴＨＲＥＳＰＥＣＴＴＯＣＯＲＲＥＬＭＥＤＮＯＩＳＥ￥ＪＩＡＰｅｉｚｈａｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｔｅｎｃｅ，Ａｃ...     

ON THE SMALLEST POSSIBLE ASYMPTOTICALLY EFFICIENT VARIANCE IN SEMIPARAMETRIC MODELS

ＯＮＴＨＥＳＭＡＬＬＥＳＴＰＯＳＳＩＢＬＥＡＳＹＭＰＴＯＴＩＣＡＬＬＹＥＦＦＩＣＩＥＮＴＶＡＲＩＡＮＣＥＩＮＳＥＭＩＰＡＲＡＭＥＴＲＩＣＭＯＤＥＬＳ￥ＬＩＡＮＧＨｕａ（ＩｎｓｔｉｔｕｔｅＯｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｎｉｃａ，...     

ON THE ISOMORPHISMS OF COMPLETE INTERSECTION VARIETIES

ＯＮ　ＴＨＥ　ＩＳＯＭＯＲＰＨＩＳＭＳ　ＯＦ　ＣＯＭＰＬＥＴＥＩＮＴＥＲＳＥＣＴＩＯＮ　ＶＡＲＩＥＴＩＥＳＤＵＨｏｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｎｉｃａ，Ｂｅｉｊｉｎｇ１０００８０，Ｃｈｉｎａ）Ａｂｓｔ...     

A METHOD TO FACTORIZE THE SPECTRAL DENSITY OF MULTIPLE MOVING AVERAGE PROCESSES

ＡＭＥＴＨＯＤＴＯＦＡＣＴＯＲＩＺＥＴＨＥＳＰＥＣＴＲＡＬＤＥＮＳＩＴＹＯＦＭＵＬＴＩＰＬＥＭＯＶＩＮＧＡＶＥＲＡＧＥＰＲＯＣＥＳＳＥＳ￥ＬＩＬｅｉ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｎｉｃａ，Ｂｅｉｊｉｎｇ１０...     

IMPROVEMENT FOR FERRO''''S MINIMAX THEOREM

ＩＭＰＲＯＶＥＭＥＮＴＦＯＲＦＥＲＲＯ＇ＳＭＩＮＩＭＡＸＴＨＥＯＲＥＭ￥ＣＨＥＮＧｕａｎｇｙａ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｎｉｃａ，Ｂｅｉｊｉｎｇ１０００８０，Ｃｈｉｎａ）Ａｂｓｔｒａｃｔ：Ｔｈｉｓｎｏｔ...     

SOME RESULTS OF BOUNDARY PROBLEM OF NON-NEWTONIAN FLUIDS

ＳＯＭＥＲＥＳＵＬＴＳＯＦＢＯＵＮＤＡＲＹＰＲＯＢＬＥＭＯＦＮＯＮ－ＮＥＷＴＯＮＩＡＮＦＬＵＩＤＳＳＨＩＸｉａｏｄｉｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｎｉｃａ，Ｂｅｉｊｉｎｇ１０００８０，Ｃｈｉｎａ）ＳＯＭ...     

POPOV METHOD FOR ROBUST ANALYSIS AND ROBUST SYNTHESIS OF MIMO LINEAR SYSTEMS WITH MRAMETRIC UNCERTAINTIES

ＰＯＰＯＶＭＥＴＨＯＤＦＯＲＲＯＢＵＳＴＡＮＡＬＹＳＩＳＡＮＤＲＯＢＵＳＴＳＹＮＴＨＥＳＩＳＯＦＭＩＭＯＬＩＮＥＡＲＳＹＳＴＥＭＳＷＩＴＨＭＲＡＭＥＴＲＩＣＵＮＣＥＲＴＡＩＮＴＩＥＳ￥ＨＵＡＮＧＹｉ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ...     

支持向量机控制与在线学习方法研究的进展

支持向量机以其模型结构简单、较好的推广能力和全局最优解等特点已经被用来进行智能控制的研究,主要包括采用支持向量机回归的非线性时间序列的建模与预测、系统辨识等建模方面的研究以及优化控制、学习控制和预测控制等方面的研究以及采用支持向量机的故障诊断的研究。由于现有SVMR基于二次规划的优化方法不适合控制过程的在线训练,因此出现了对SVMR在线训练算法的研究。分析了国内外这些研究内容的最新研究进展,旨在探讨归纳支持向量机在控制领域研究的主要成果和存在的问题,以便为进一步的研究提供一定的支持与帮助。     

A Genetic Algorithm for Clustering Analysis in DynamicEconomic System with Variable Structure

1IntroductionModel-buildingforsocialeconomicsystemhasbeenanimportantresearchfield,andhowtodescribetheevolutiollofsocialeconomicsystemhasbroughttomoreeconomists'attention.Thebehaviorofeconomicsystemshotonlydependsonquantitativefactorsbutalsodependsonqualitativefactors.Theformerareeasilyobservedandcanbedescribedbystatisticaldata,butthelateraredifficulttoberepresentedbystatisticaldata.Therefore,whenanalyzingarealeconomicsystem,weoftenonlyconsidertheinfluenceofquantitativefaCtorsoneconomicsystema…     

信息需求网络上最优连接问题

一个关于知识获取、信息需求或资源占有的系统往往可以用一个有向网络来描述，其中起点集表示已获得的资源(知识、信息等)，终点集表示要求获得的资源，而获取资源的过程就是从起点集到终点集的一个连接方式．论文建立此类问题的网络优化模型，并研究其基本性质及算法问题．主要结果包括：一般情形的NP-完全性，特殊情形的多项式时间算法，如没有中间点的网络或有固定数目中间点的网络，以及实用的启发式算法．     

ACCURACY ANALYSIS FOR QUASI-CAREY ELEMENT*

In this paper, a new triangular element （Quasi-Carey element） is constructed by the idea of Specht element. It is shown that this Quasi-Carey element possesses a very special property, i.e., the consistency error is of order O（h^2）, one order higher than its interpolation error when the exact solution belongs to H^3（Ω）. However, the interpolation error and consistency error of Carey element are of order O（h）. It seems that the above special property has never been seen for other triangular elements for the second order problems.     

前景理论下的末端物流干扰管理方法研究

针对末端物流配送过程中可能出现的配送时间窗更改、送货地址变化等动态扰动问题,提出了基于前景理论的价值函数度量策略和基于量子理论的多目标优化求解方法.首先,对末端物流干扰管理问题进行了描述;然后,为度量用户对货物期待的心理感知度,建立了末端物流配送干扰管理模型,并设计了基于前景理论的价值函数曲线和扰动度量策略;在此基础上,为优化干扰管理模型和寻求用户满意度、配送成本以及配送效率等多目标优化问题的较优解,提出了一种融入量子理论的改进细菌觅食方法;最后,将所提出的方法与已经存在的经典算法进行比较,验证了该方法的可行性和有效性.     

一种新的进化规划算法及其应用研究

可靠性是复杂系统设计中的一个重要问题 ,受到多种条件的约束。提高系统可靠度的两种常用方法是 :提高系统组成元件的可靠度 ;增加系统的冗余度。该类问题常常用复杂的约束优化问题描述 ,研究这类问题的快速有效的求解方法具有重要意义。提出了一种求解此类问题的新型进化规划算法。大量仿真实例验证了该方法的有效性。     

New chaotic system and its hyperchaos generation

To seek for lower-dimensional chaotic systems that have complex topological attractor structure with simple algebraic system structure, a new chaotic system of three-dimensional autonomous ordinary differential equations is presented. The new system has simple algebraic structure, and can display a 2-scroll attractor with complex topological structure, which is different from the Lorenz’s, Chen’s and L¨u’s attractors. By introducing a linear state feedback controller, the system can be controlled to generate a hyperchaotic attractor. The novel chaotic attractor, hyperchaotic attractor and dynamical behaviors of corresponding systems are further investigated by employing Lyapunov exponent spectrum, bifurcation diagram, Poincar′e mapping and phase portrait, etc., and then verified by simulating an experimental circuit.     

Cooperative games on convex geometries with a coalition structure

This paper is mainly to discuss cooperative games on convex geometries with a coalition structure,which can be seen as an extension of cooperative games with a coalition structure.For this kind of games,the cooperation among unions and within each union will be the convex sets,i.e., the feasible subsets of the coalition structure and that of each union belong to a convex geometry, respectively.The explicit form of the generalized Owen value for this kind of games is given,which can be seen as an extension of the Owen value.Furthermore,two special cases of this kind of games are researched.The corresponding payoff indices are also studied.Finally,an illustrative example is given.     

井筒内旋转抽油杆柱动力学仿真

井筒内细长抽油杆柱是石油工程中特有结构，考虑旋转抽油杆柱可能在任意井深和井眼圆周方向上与井筒产生的碰撞接触，建立了旋转抽油杆柱动力学模型，并采用动力间隙元和空间梁单元、Newmark法进行仿真。经B3—4-P31等井的应用表明：通过仿真设计的抽油杆柱和扶正器安放位置，能够在井下安全可靠工作，避免了抽油杆柱发生脱断、偏磨事故。该方法已在大庆油田得到应用，也可以在其它油田推广应用。     

面向人口属性预测的词嵌入构建方法

本文探讨如何从用户购买数据中学习出高质量词嵌入,以让模型据此实现高效的人口属性预测任务.首先分析购买数据并对其进行编码,并在此基础上构建嵌入向量生成模型,之后用样本数据训练该模型,然后用神经网络程序实现该模型,最后通过实验验证该模型的可行性和高效性.提出的模型不仅能将具有大量模态的分类特征数据转换为低维的高质量词嵌入,...