参数扰动下时滞忆阻神经网络的Lagrange稳定性

根据忆阻器物理特性,建立了一类荷控忆阻神经网络模型,模型中忆阻器的记忆特性被保留.针对实际忆阻器阻值与理想模型存在差异造成忆阻神经网络中参数不确定的问题,研究参数扰动下时滞忆阻神经网络的Lagrange稳定性.将模型重构为双重扰动形式以处理忆阻器忆阻值变化造成的模型中的参数变化.通过构造Lyapunov函数和应用线性矩阵不等式方法,以线性矩阵不等式形式给出了网络Lagrange稳定的充分条件,并给出了相应的全局指数吸引集的估计.最后,通过与现有模型的仿真结果对比,展示了所建立模型的优势.利用数值算例展示了参数扰动造成忆阻神经网络周期解的偏移,说明了研究参数扰动对忆阻神经网络稳定性影响的必要性,并验证了理论所得稳定性判据的可行性.     

基于Simulink的忆阻器模型

为了使忆阻器具有与其他器件相结合的能力,本文在惠普实验室提出的忆阻器物理模型电路关系的基础上,在Simulink中用二种方法对忆阻器进行了双端口建模,方便准确的实现了对于忆阻器的仿真。与编写M文件、构建图形用户界面和搭建输入输出模型的建模方法相比,基于Simulink的双端口模型不仅能够方便准确的观察忆阻器的输入输出特性,而且具有更广阔的应用范围,对于忆阻器的研究有一定的指导作用。     

含两个忆阻器的隐藏吸引子及其Hamilton能量控制

以Kirchhoff定律为理论基础,设计含磁控、荷控两种忆阻器的非线性电路模型。分析系统的平衡点特性时,发现此忆阻系统存在隐藏吸引子,通过仿真关于参数的分岔图、相轨迹、Poincaré映射图,发现其具有丰富的动力学特性,比如,存在混沌、超混沌、暂态混沌、周期等非线性现象。根据Helmholtz定理计算得出此忆阻系统的Hamilton能量函数,讨论了系统的电容在充放电过程中电流随时间变化时与产生的能量变化关系并提出新的Hamilton能量控制法,通过选择不同的控制参数将忆阻系统的控制到期望的状态。     

驱动忆阻性负载逆变系统中Hopf分岔控制的研究

针对驱动忆阻性负载逆变系统易发生Hopf分岔、导致系统出现振荡频率大于工频频率但远小于开关频率的不稳定现象，提出交流输出电压微分反馈控制方法，实现了对系统中Hopf分岔行为的有效控制。驱动忆阻性负载逆变系统因Hopf分岔引起的振荡现象属于慢尺度不稳定行为，因此建立了交流输出电压微分反馈控制下系统的平均模型，基于谐波平衡法求得系统变量的周期解，以Floquet理论揭示了系统中出现慢尺度不稳定行为的机理，给出了确保系统稳定运行的控制参数取值范围。此外，通过计算Floquet乘数对积分参数的敏感值，分析了交流输出电压微分反馈控制下系统在积分参数受到扰动时的抗干扰能力。研究结果表明：交流输出电压微分反馈控制方法可有效控制驱动忆阻性负载逆变系统中的Hopf分岔行为，能大幅度增加确保系统稳定的控制参数取值范围，并可增强系统的抗干扰能力。最后，通过PSpice仿真结果和电路实验结果的一致性，验证了理论分析的正确性和所提出的控制方法的有效性。     

忆阻混沌系统的同步

忆阻器之所以引起了人们的大量关注,是因为它具有其一些特殊的特点,在普通的混沌系统中代替蔡氏二极管通过用忆阻器,因之得到了一个忆阻混沌系统;研究了忆阻混沌系统的同步,通过用Lyapunov稳定性理论,并设计一个脉冲控制器来实现忆阻混沌系统在不同的条件下的同步,从理论分析上说明了结果的有效性。     

基于忆阻器的鉴相电路设计与分析

分析忆阻器的基本理论,推导忆阻器阻值与电量、时间的函数关系,使用Simulink建立忆阻器模型,并验证该模型在正弦信号激励下,电流和电压具有滞回特性.设计基于忆阻器的鉴相电路,将相位差测量转化成对脉冲宽度的测量,对方法进行理论分析,并通过仿真实验验证了电路的功能.通过仿真、计算,得到忆阻器在边界非线性效应的影响下,非线性误差为9.82%.     

多种连接模型的忆阻神经网络学习

忆阻器以其独特的非易失性、天然的记忆功能以及纳米级尺寸,在人工神经网络、信号处理和模式识别等方面展现了巨大的应用前景。采用了基于STDP学习规则的忆阻神经网络,运用了网络自适应突变以及网络拓扑结构变化的基因算法,其中包括隐藏层神经元个数,连接权重以及神经网络突触模型的变化。比较了基于HP线性忆阻器模型,非线性忆阻器模型以及阈值模型这3种不同忆阻器模型的忆阻神经网络,并提出了学习效果更好的混合型忆阻神经网络。     

忆阻神经网络图像处理综述

忆阻神经网络能有效改善传统神经网络电路复杂、不易集成以及能耗大等不足。概述了忆阻器与忆阻神经网络,以及目前忆阻神经网络在图像处理方面的应用。基于忆阻特性,实现神经网络突触的动态可变,使忆阻神经网络比传统神经网络在图像处理领域具备更多优势且应用范围更广。同时,展望了忆阻神经网络未来发展前景。     

一种基于有源忆阻器模型的混沌电路

提出一种内部状态变量导数中含有平方项的有源忆阻器模型;并基于该模型构造了一个仅含电容、电感和忆阻器三个元件的混沌电路系统。该系统仅包含有一个平衡点;且吸引子关于原点中心对称。通过系统的李雅普诺夫指数谱和分岔图发现,在不同的电阻参数下该系统会以混沌危机和倒分岔两种方式退出混沌。最后,利用运算放大器等对该忆阻器进行电路模拟,给出了混沌系统的电路实现。     

基于改进忆阻器的混沌电路研究

忆阻器是一种具有记忆和连续输出特点的非线性电阻器,针对窗函数忆阻器模型的不足,提出了一种改进的窗函数,它通过添加一个参数来关联忆阻器的线性与非线性特性。为了对该窗函数进行验证,运用了数值分析与模拟电路分析的方法,仿真得出了忆阻器的伏安特性曲线,结果表明,使用改进窗函数的忆阻器模型更加接近实际物理状态。同时,为了进一步研究该模型的电路特性,将该模型应用于蔡氏混沌电路,通过MATLAB仿真得出其相图,并分析它的李雅普诺夫指数谱,数据表明该电路能产生混沌现象,因此,该忆阻器模型是一个能被应用的非线性模型。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.