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Oil-gas reservoir lithofacies stochastic modeling based on one- to three-dimensional Markov chains 被引量:2
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作者 WANG Zhi-zhong HUANG Xiang LIANGYu-ru 《Journal of Central South University》 SCIE EI CAS CSCD 2018年第6期1399-1408,共10页
Stochastic modeling techniques have been widely applied to oil-gas reservoir lithofacies. Markov chain simulation~ however~ is still under development~ mainly because of the difficulties in reasonably defining conditi... Stochastic modeling techniques have been widely applied to oil-gas reservoir lithofacies. Markov chain simulation~ however~ is still under development~ mainly because of the difficulties in reasonably defining conditional probabilities for multi-dimensional Markov chains and determining transition probabilities for horizontal strike and dip directions. The aim of this work is to solve these problems. Firstly~ the calculation formulae of conditional probabilities for multi-dimensional Markov chain models are proposed under the full independence and conditional independence assumptions. It is noted that multi-dimensional Markov models based on the conditional independence assumption are reasonable because these models avoid the small-class underestimation problem. Then~ the methods for determining transition probabilities are given. The vertical transition probabilities are obtained by computing the transition frequencies from drilling data~ while the horizontal transition probabilities are estimated by using well data and the elongation ratios according to Walther's law. Finally~ these models are used to simulate the reservoir lithofacies distribution of Tahe oilfield in China. The results show that the conditional independence method performs better than the full independence counterpart in maintaining the true percentage composition and reproducing lithofacies spatial features. 展开更多
关键词 independence assumption markov chain reservoir lithofacies small-class underestimation transitionprobability
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Mathematical Modeling of Possibility Markov Chains by Possibility Theory
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作者 Yoshiki Uemura Takemura Kazuhisa Kenji Kita 《Applied Mathematics》 2024年第8期499-507,共9页
Statistical regression models are input-oriented estimation models that account for observation errors. On the other hand, an output-oriented possibility regression model that accounts for system fluctuations is propo... Statistical regression models are input-oriented estimation models that account for observation errors. On the other hand, an output-oriented possibility regression model that accounts for system fluctuations is proposed. Furthermore, the possibility Markov chain is proposed, which has a disidentifiable state (posterior) and a nondiscriminable state (prior). In this paper, we first take up the entity efficiency evaluation problem as a case study of the posterior non-discriminable production possibility region and mention Fuzzy DEA with fuzzy constraints. Next, the case study of the ex-ante non-discriminable event setting is discussed. Finally, we introduce the measure of the fuzzy number and the equality relation and attempt to model the possibility Markov chain mathematically. Furthermore, we show that under ergodic conditions, the direct sum state can be decomposed and reintegrated using fuzzy OR logic. We had already constructed the Possibility Markov process based on the indifferent state of this world. In this paper, we try to extend it to the indifferent event in another world. It should be noted that we can obtain the possibility transfer matrix by full use of possibility theory. 展开更多
关键词 Possibility markov chain Ergodic Condition Direct Sum State Prior Indiscriminate State Posterior Discriminatory State
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Driving-Cycle-Aware Energy Management of Hybrid Electric Vehicles Using a Three-Dimensional Markov Chain Model 被引量:7
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作者 Bolin Zhao Chen Lv Theo Hofman 《Automotive Innovation》 EI CSCD 2019年第2期146-156,共11页
This study developed a new online driving cycle prediction method for hybrid electric vehicles based on a three-dimensional stochastic Markov chain model and applied the method to a driving-cycle-aware energy manageme... This study developed a new online driving cycle prediction method for hybrid electric vehicles based on a three-dimensional stochastic Markov chain model and applied the method to a driving-cycle-aware energy management strategy.The impacts of different prediction time lengths on driving cycle generation were explored.The results indicate that the original driving cycle is compressed by 50%,which significantly reduces the computational burden while having only a slight effect on the prediction performance.The developed driving cycle prediction method was implemented in a real-time energy management algorithm with a hybrid electric vehicle powertrain model,and the model was verified by simulation using two different testing scenarios.The testing results demonstrate that the developed driving cycle prediction method is able to efficiently predict future driving tasks,and it can be successfully used for the energy management of hybrid electric vehicles. 展开更多
关键词 Driving cycle prediction markov chain model Hybrid electric vehicles Energy managemen
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D-S理论和Markov链组合的桥梁性能退化预测研究
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作者 杨国俊 田里 +2 位作者 唐光武 毛建博 杜永峰 《应用数学和力学》 CSCD 北大核心 2024年第4期416-428,共13页
为准确预测桥梁性能退化,考虑到数据随机性和微小扰动发生状态跳跃,提出了一种D-S(Dempster-Shafer)证据理论和Markov链组合的桥梁性能退化组合预测模型和性能退化率的概念.该模型基于指数平滑(exponential smoothing,ES)方法获得新的... 为准确预测桥梁性能退化,考虑到数据随机性和微小扰动发生状态跳跃,提出了一种D-S(Dempster-Shafer)证据理论和Markov链组合的桥梁性能退化组合预测模型和性能退化率的概念.该模型基于指数平滑(exponential smoothing,ES)方法获得新的预测数据序列,并利用Markov链和D-S理论不断进行优化,从而实现桥梁性能退化的组合预测.实际工程的应用结果表明:性能退化率可以直观地表征在梁性能退化的速度.其次,该模型的平均相对误差为1.54%,较于回归、灰色和模糊加权Markov链模型,精度分别提高了1.11%,0.88%和2.8%,而后验差比值为0.242,小于0.35;模型的标准差为9.021,相比其他模型分别减小了3.978,3.405和7.500,而变异系数为0.109,均小于其他模型,验证了组合预测模型在精度和稳定性方面的优越性,可为在役桥梁结构性能退化预测与维护提供理论基础. 展开更多
关键词 桥梁工程 性能退化预测 D-S证据理论 markov 组合预测模型 桥梁性能退化率
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Modeling urban land use dynamics using Markov-chain and cellular automata in Gondar City,Northwest Ethiopia
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作者 Ergo Beyene Amare Sewnet Minale 《Chinese Journal of Population,Resources and Environment》 2023年第2期109-118,共10页
Modeling urban land-use dynamics is critical for urban experts’and infrastructure managers’planning.This study attempts to explore the land-use/land-cover(LULC)dynamics of Gondar using satellite images from 1984 to ... Modeling urban land-use dynamics is critical for urban experts’and infrastructure managers’planning.This study attempts to explore the land-use/land-cover(LULC)dynamics of Gondar using satellite images from 1984 to 2020.Markov-Chain and Cellular Automata(MC-CA)models have been recognized as performing well in predicting urban land-use change.However,only a few models work in Ethiopia in general,and no study in Gondar has applied this approach to study urban land-use patterns.Therefore,Gondar land-use/land cover changes of Gondar were predicted using the MC-CA model in IDRISI.The built-up area in Gondar city covered 1413 ha(3%of the total area)in 1984 and increased to 2380 ha(5%)in 1994;21153 ha(45.5%)in 2004;22622 ha(48.7%)in 2014;and 23427 ha(50.5%)in 2020.The area has been predicted to reach 57.5%in the 2050s,showing a faster increase that will cause a very vast loss of farmland.This will increase urban sprawl challenges as well as overall environmental disequilibrium in the preceding decade.Thus,innovative and careful structures and systems in urban planning are required to secure a sustainable urban future and to make our cities livable and competitive in the paradigm of sustainable cities. 展开更多
关键词 Modeling urban growth markov chain Cellular automata Remote sensing IDRISI
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Markov Chains Based on Random Generalized 1-Flipper Operations for Connected Regular Multi-digraphs
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作者 邓爱平 伍陈晨 +1 位作者 王枫杰 胡宇庭 《Journal of Donghua University(English Edition)》 CAS 2023年第1期110-115,共6页
The properties of generalized flip Markov chains on connected regular digraphs are discussed.The 1-Flipper operation on Markov chains for undirected graphs is generalized to that for multi-digraphs.The generalized 1-F... The properties of generalized flip Markov chains on connected regular digraphs are discussed.The 1-Flipper operation on Markov chains for undirected graphs is generalized to that for multi-digraphs.The generalized 1-Flipper operation preserves the regularity and weak connectivity of multi-digraphs.The generalized 1-Flipper operation is proved to be symmetric.Moreover,it is presented that a series of random generalized 1-Flipper operations eventually lead to a uniform probability distribution over all connected d-regular multi-digraphs without loops. 展开更多
关键词 random graph transformation regular multi-digraph markov chain 1-Flipper triangle reverse
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Three-dimensional Motion of Multichain-Buoy Mooring System in shallow Water and Survival Conditions 被引量:1
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作者 Zhang Ting Sun Mingguang Graduate student, Department of Applied Mechanics and Engineering, Zhongshan University,Guangzhou 510275Professor, Department of Applied Mechanics and Engineering, Zhongshan University, Guangzhou 510275 《China Ocean Engineering》 SCIE EI 1997年第3期261-272,共12页
An engineering numerical model for three dimensional motion of multichain-buoy mooring system in shallow water and survival condition is given in this paper. Shooting-aim method is employed for solving the dynamic equ... An engineering numerical model for three dimensional motion of multichain-buoy mooring system in shallow water and survival condition is given in this paper. Shooting-aim method is employed for solving the dynamic equations of chain system in order to match the computation of buoy motion. The responses of buoy and chain have been computed for different wind-wave-current directions and different rigidity of chain. The results show that the present numerical model is reasonable. 展开更多
关键词 survival condition shallow water chain system three-dimensional motion
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Air Quality Estimation Using Nonhomogeneous Markov Chains: A Case Study Comparing Two Rules Applied to Mexico City Data
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作者 Eliane R. Rodrigues Juan A. Cruz-Juárez +1 位作者 Hortensia J. Reyes-Cervantes Guadalupe Tzintzun 《Journal of Environmental Protection》 2023年第7期561-582,共22页
A nonhomogeneous Markov chain is applied to the study of the air quality classification in Mexico City when the so-called criterion pollutants are used. We consider the indices associated with air quality using two re... A nonhomogeneous Markov chain is applied to the study of the air quality classification in Mexico City when the so-called criterion pollutants are used. We consider the indices associated with air quality using two regulations where different ways of classification are taken into account. Parameters of the model are the initial and transition probabilities of the chain. They are estimated under the Bayesian point of view through samples generated directly from the corresponding posterior distributions. Using the estimated parameters, the probability of having an air quality index in a given hour of the day is obtained. 展开更多
关键词 Air Quality Index Air Pollution Mexico City Nonhomogeneous markov chains Bayesian Inference
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基于Markov模型的低风速地区风力发电机预防性维护优化策略
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作者 张大永 王红蕾 《运筹学学报(中英文)》 CSCD 北大核心 2024年第3期108-120,共13页
在“3060”双碳战略目标下,随着风电产业的迅速发展,预防性维护已然成为提高风力发电机运行可靠性的重要手段。关于复杂环境下风力发电机的运行管理尚存在对退化状态认识不充分、维修策略不可靠等问题。本文以期望成本最小化为目的,考... 在“3060”双碳战略目标下,随着风电产业的迅速发展,预防性维护已然成为提高风力发电机运行可靠性的重要手段。关于复杂环境下风力发电机的运行管理尚存在对退化状态认识不充分、维修策略不可靠等问题。本文以期望成本最小化为目的,考虑风力发电机关键部件退化过程与多阶段预防性维护策略的关系,构建基于Markov状态转移的多阶段预防性维护成本模型。首先,依据设备衰退规律,利用Markov链的转移概率对退化状态、维护策略进行刻画。其次,引入可靠度、故障率、役龄因子计算多阶段预防性维护时长和故障时长;再进一步考虑天气条件对维护成本模型的影响,构建风力发电机在整个维护周期内的期望成本模型。最后,利用数值分析对模型进行求解。结果表明,实施最小、更换维护策略的期望成本占据了总维护成本的80%以上,相比之下,采取预防性维护优化策略的期望成本则低于总维护成本的20%,故该策略可为低风速地区的风电企业提供有效的决策参考,提高风力发电机的运行可靠性。 展开更多
关键词 预防性维护 风力发电机 退化状态 markov 期望成本
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Ecological Classroom Model for Vocabulary Teaching Based on Markov Chain
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作者 Ge Shuanglin Yang Yu 《Sino-US English Teaching》 2023年第4期123-136,共14页
This paper explores the current English vocabulary teaching classroom based on an eco-linguistic perspective and the Markov chain,points out the ecological imbalance in the English vocabulary classroom,and proposes me... This paper explores the current English vocabulary teaching classroom based on an eco-linguistic perspective and the Markov chain,points out the ecological imbalance in the English vocabulary classroom,and proposes measures to solve the problem and strategies to build an ecological English vocabulary learning classroom,in order to provide some reference for future English vocabulary curriculum reform and curriculum design.In this paper,a random sample of 20 students from each class was taken from an advanced arts class and an advanced science class.The results show that after a semester of teaching process,the overall English scores of the arts and science classes improved,and since,the arts classes improved more and the teachers’teaching quality was better. 展开更多
关键词 eco-linguistics markov chain English vocabulary teaching teaching quality
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Service Function Chain Deployment Algorithm Based on Multi-Agent Deep Reinforcement Learning
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作者 Wanwei Huang Qiancheng Zhang +2 位作者 Tao Liu YaoliXu Dalei Zhang 《Computers, Materials & Continua》 SCIE EI 2024年第9期4875-4893,共19页
Aiming at the rapid growth of network services,which leads to the problems of long service request processing time and high deployment cost in the deployment of network function virtualization service function chain(S... Aiming at the rapid growth of network services,which leads to the problems of long service request processing time and high deployment cost in the deployment of network function virtualization service function chain(SFC)under 5G networks,this paper proposes a multi-agent deep deterministic policy gradient optimization algorithm for SFC deployment(MADDPG-SD).Initially,an optimization model is devised to enhance the request acceptance rate,minimizing the latency and deploying the cost SFC is constructed for the network resource-constrained case.Subsequently,we model the dynamic problem as a Markov decision process(MDP),facilitating adaptation to the evolving states of network resources.Finally,by allocating SFCs to different agents and adopting a collaborative deployment strategy,each agent aims to maximize the request acceptance rate or minimize latency and costs.These agents learn strategies from historical data of virtual network functions in SFCs to guide server node selection,and achieve approximately optimal SFC deployment strategies through a cooperative framework of centralized training and distributed execution.Experimental simulation results indicate that the proposed method,while simultaneously meeting performance requirements and resource capacity constraints,has effectively increased the acceptance rate of requests compared to the comparative algorithms,reducing the end-to-end latency by 4.942%and the deployment cost by 8.045%. 展开更多
关键词 Network function virtualization service function chain markov decision process multi-agent reinforcement learning
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Hydrogen-bonded Three-Dimensional Networks Encapsulating One-dimensional Covalent Chains: [Cu(3-ampy)(H_2O)_4](SO_4)·(H_2O) (3-ampy = 3-Aminopyridine)
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作者 潘万龙 黄坤林 +1 位作者 许颜清 胡长文 《Chinese Journal of Structural Chemistry》 SCIE CAS CSCD 北大核心 2007年第7期822-826,共5页
A three-dimensional complex [Cu(3-ampy)(HEO)4](SO4)·(H2O) (3-ampy = 3-amino- pyridine) has been synthesized. Crystallographic data: C5H16CuN2O9S, Mr = 343.80, triclinic, space group P1, a = 7.675(2),... A three-dimensional complex [Cu(3-ampy)(HEO)4](SO4)·(H2O) (3-ampy = 3-amino- pyridine) has been synthesized. Crystallographic data: C5H16CuN2O9S, Mr = 343.80, triclinic, space group P1, a = 7.675(2), b = 8.225(3), c = 10.845(3)A, α= 86.996(4), β = 76.292(4), γ= 68.890(4)°, V = 620.0(3)A^3, Z = 2, Dc = 1.841 g/cm^3, F(000) = 354 and μ = 1.971 mm^-1. The structure was refined to R = 0.0269 and wR = 0.0659 for 1838 observed reflections (I 〉 2a(/)). The structure consists of [Cu(3-ampy)(H2O)4]^2+ cations, SO4^2- anions and lattice water molecules. 3-Ampy acting as a bidentate bridging ligand generates a 1D covalent chain. A supramolecular 2D framework is formed through π-π stacking of pyridine rings. The lattice water molecules and SO4^2- anions are located between the adjacent 2D frameworks. The hydrogen bonding interactions from lattice water molecules and SO4^2- anions to coordinate water extend the 2D framework into a 3D network. 展开更多
关键词 three-dimension covalent chains 3-aminopyridine hydrogen bonds π-π stacking
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基于互Box-Cox变换和Markov链风速云模型的发电系统充裕度评估
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作者 安睿 缪书唯 《电力自动化设备》 EI CSCD 北大核心 2024年第3期113-119,141,共8页
为准确计及风速随机性和自相关性对风电并网系统充裕度的影响,建立基于互Box-Cox变换和Markov链的风速云模型,并将该模型与时序Monte Carlo模拟法结合,提出计及风速随机性和自相关性的风电并网系统充裕度评估方法。仿真结果表明,所提模... 为准确计及风速随机性和自相关性对风电并网系统充裕度的影响,建立基于互Box-Cox变换和Markov链的风速云模型,并将该模型与时序Monte Carlo模拟法结合,提出计及风速随机性和自相关性的风电并网系统充裕度评估方法。仿真结果表明,所提模型产生的仿真风速样本与实测风速样本具备相似的概率分布特性和自相关性,所提方法可较精确地评估风电并网系统充裕度及风电容量可信度。 展开更多
关键词 Box-Cox变换 markov 混合半云模型 风速自相关性 充裕度评估
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基于改进Markov智能网联多车型混合流编队策略
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作者 赵峥 庞明宝 《深圳大学学报(理工版)》 CAS CSCD 北大核心 2024年第4期423-432,共10页
为提高智能网联(connected and automated,CA)卡车、小车及人工驾驶卡车、小车的混合流道路通行能力,提出基于排强度和渗透率的CA车辆单独编队和合作编队策略.分别设计两种策略下混合流车辆跟驰模式,推导出基于改进Markov模型,涵盖CA车... 为提高智能网联(connected and automated,CA)卡车、小车及人工驾驶卡车、小车的混合流道路通行能力,提出基于排强度和渗透率的CA车辆单独编队和合作编队策略.分别设计两种策略下混合流车辆跟驰模式,推导出基于改进Markov模型,涵盖CA车辆渗透率和排强度的车辆状态转移概率;分析两种策略下CA车辆队列分布,建立各策略下的混合流道路容量模型,并通过理论证明和仿真实验予以验证.结果表明,与不编队策略相比,两种策略下道路容量分别提高1.23%~49.62%和1.47%~60.34%,合作编队策略与单独编队策略相比能将道路容量再提高11%;当CA车辆渗透率大于50%和排强度大于0时,编队策略对道路容量的提升效果更显著,容量能提高13.27%~60.34%;单独编队策略下CA小车和CA卡车最大队列规模分别为8辆和6辆,合作编队下CA车辆最大队列规模为8辆. 展开更多
关键词 智能交通 智能网联混合交通流 编队策略 改进马尔科夫链模型 排强度 最大队列规模
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新疆旅游经济贡献空间非均衡与动态演化研究——基于Dagum基尼系数与Markov链估计
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作者 闫敏 王冉 《伊犁师范大学学报》 2024年第1期82-92,共11页
结合投入产出法和旅游剥离系数法测算了新疆各地州旅游业增加值基础数据,基于Dagum基尼系数和Markov链估计方法,探讨了2001—2019年新疆旅游经济贡献的空间非均衡特征及动态演变。研究表明:新疆旅游经济贡献空间分布表现为“北高-东低-... 结合投入产出法和旅游剥离系数法测算了新疆各地州旅游业增加值基础数据,基于Dagum基尼系数和Markov链估计方法,探讨了2001—2019年新疆旅游经济贡献的空间非均衡特征及动态演变。研究表明:新疆旅游经济贡献空间分布表现为“北高-东低-南低”的格局,且主要发生在东北-西南方向上,呈显著的空间非均衡特征;其中,旅游经济贡献高的核心地州有乌鲁木齐、伊犁州直、昌吉州、阿勒泰、吐鲁番等。Dagum基尼系数及分解研究发现新疆旅游经济贡献空间非均衡的状态仍是旅游经济发展的主流状态,组内差距的贡献缩小引致旅游经济贡献趋向平衡,而空间非均衡的主要来源是组间差距;进一步解构新疆旅游经济贡献内部动态演进,发现新疆旅游经济贡献水平存在“两头固化,中间活跃”的演化特征,内部状态流动性较低,反映出区域旅游经济跃迁需要具备发展基础和长期积累的条件。基于此,研究提出了“缩差距、破固化、强投入、先人才”的建议。 展开更多
关键词 旅游经济贡献 旅游业增加值 markov 基尼系数
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Markov切换拓扑下离散多智能体系统滑模一致性控制
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作者 曹洒 解静 赵阳 《计算技术与自动化》 2024年第3期8-14,共7页
针对具有Markov切换拓扑的离散多智能体系统,研究了其在滑模控制下的均方领导跟随一致性问题。通过引入Markov切换拓扑,描述了智能体之间的随机信息交互。采用一致性误差定义了与随机切换拓扑相关的滑模面。根据理想准滑动模态条件得到... 针对具有Markov切换拓扑的离散多智能体系统,研究了其在滑模控制下的均方领导跟随一致性问题。通过引入Markov切换拓扑,描述了智能体之间的随机信息交互。采用一致性误差定义了与随机切换拓扑相关的滑模面。根据理想准滑动模态条件得到了等效控制律,并将离散多智能体系统的一致性问题转化为领导跟随误差系统的稳定性问题;利用Lyapunov函数的构造和矩阵理论最终给出了离散滑动模态均方领导跟随一致性的充分条件,并给出了控制增益的设计方法。然后利用趋近律原理给出了一种离散时间滑模控制器,实现了跟随误差能够在有限时间内到达所定义的滑模面区域内。如何处理部分转移概率未知的Markov切换拓扑和设计与随机切换拓扑相关的滑模面是本文的两个难点。最后通过一个数值算例验证了所提方法的有效性。 展开更多
关键词 离散多智能体系统 随机切换拓扑 markov 滑模控制 均方一致性
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多重填补法Markov Chain Monte Carlo模型在有缺失值的妇幼卫生纵向数据中的应用 被引量:7
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作者 茅群霞 李晓松 《四川大学学报(医学版)》 CAS CSCD 北大核心 2005年第3期422-425,共4页
目的 针对妇幼卫生纵向数据的任意缺失模式,采用多重填补方法进行填补,探求最佳填补结果,以便对数据作进一步分析与研究。方法 运用SAS9.0 ,采用多重填补方法Markov China Monte Carlo(MCMC)模型对缺失数据进行多次填补并综合分析。... 目的 针对妇幼卫生纵向数据的任意缺失模式,采用多重填补方法进行填补,探求最佳填补结果,以便对数据作进一步分析与研究。方法 运用SAS9.0 ,采用多重填补方法Markov China Monte Carlo(MCMC)模型对缺失数据进行多次填补并综合分析。结果 填补5次所得结果最优。结论 多重填补方法可以处理有缺失数据资料中的许多普遍问题,可提高统计效率,尤其是MCMC模型在处理复杂的缺失数据上,优势明显。 展开更多
关键词 多重填补法 markov chain MONTE Carlo 缺失值 妇幼卫生
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基于Markov Chain的协议异常检测模型 被引量:6
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作者 李娜 秦拯 +1 位作者 张大方 陈蜀宇 《计算机科学》 CSCD 北大核心 2004年第10期66-68,95,共4页
本文介绍了基于Markov链的协议异常检测模型,此外,通过对MIT Lincoln实验室1999评估数据的分析,证明此模型的正确性和有效性。
关键词 异常检测模型 协议 正确性 数据 markov MIT 证明 实验室 有效性
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基于MLP-ANN与Markov Chain的土地利用变化预测方法——以锡林郭勒盟为例 被引量:8
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作者 徐广才 康慕谊 李亚飞 《生态环境学报》 CSCD 北大核心 2010年第10期2386-2392,共7页
以北方草地典型地区—内蒙古锡林郭勒盟为案例区,在1995年到2000年的土地利用变化与驱动力分析的基础上,利用土地利用转换类型和驱动力模型,采用多层感知人工神经网络模型分析了各种土地利用类型未来的转换潜力;利用马尔可夫链模型,预测... 以北方草地典型地区—内蒙古锡林郭勒盟为案例区,在1995年到2000年的土地利用变化与驱动力分析的基础上,利用土地利用转换类型和驱动力模型,采用多层感知人工神经网络模型分析了各种土地利用类型未来的转换潜力;利用马尔可夫链模型,预测了2005和2010年土地利用格局。预测结果显示:高覆盖度草地减少幅度最大,中覆盖度草地减少相对和缓,高、中覆盖度草地的减少造成了未利用地和低覆盖度草地的增加,尤其是前者增加的幅度最大;从空间分布看,高覆盖度草地的减少集中在西北部地区,主要转变为中低覆盖度草地,中覆盖度草地的减少主要集中在西南部地区,其流向主要是以沙化土地为主的未利用地;案例研究表明,多层感知人工神经网络模型与马尔可夫链模型的结合与应用能够在很大程度上预测稳定驱动力作用下的土地利用变化趋势,从而为生态干预提供指导。 展开更多
关键词 土地利用与覆被变化 模拟 多层感知人工神经网络模型 马尔可夫链 锡林郭勒盟
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高等院校教师人才流动的Markov-chain预测模型 被引量:2
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作者 昝欣 宗鹏 吴祈宗 《南京师范大学学报(工程技术版)》 CAS 2006年第3期75-78,共4页
介绍并解析随机过程理论中的马尔科夫过程与马尔科夫链;针对高等院校教师人才流动变化过程,利用马尔科夫过程分析方法建立描述人员流动变化趋势的Markov-chain预测模型,详细阐述了模型的算法步骤.以某所高等院校教师人才流动的状态转移... 介绍并解析随机过程理论中的马尔科夫过程与马尔科夫链;针对高等院校教师人才流动变化过程,利用马尔科夫过程分析方法建立描述人员流动变化趋势的Markov-chain预测模型,详细阐述了模型的算法步骤.以某所高等院校教师人才流动的状态转移数据作为算例,运用新建立的预测模型,对该院校教师人才的流动趋势做出了预测分析.最后,将教师进修状态纳入分析范围,进行了教师职业生涯和职务发展趋势预测的深入分析.应用模型对实际算例的求解结果表明:Markov-chain预测模型及算法,叙述简洁、运算方便,为高等院校教师人才流动,乃至其他行业人才流动的预测提供了一种新的、有效的思路和方法. 展开更多
关键词 人才流动 马尔科夫过程 马尔科夫链 markov-chain预测模型 人力资源
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