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stochastic相关的网络例句

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与 stochastic 相关的网络例句 [注:此内容来源于网络,仅供参考]

Secondly, the dissertation estbalished a stochastic game model for the allocation-in-advance case, constructed its share values and then analyzed its effectiveness.

针对动态联盟事前分配问题,建立了动态联盟收益分配的随机博弈模型,构建了动态联盟事前分配值并分析了其优效性。

Under frame of general sum stochastic game theory multi-agent Q-learning method is addressed, we gave the learning function and specific learning algorithm of multi-agent Q-learning.

基于一般和随机对策理论框架下提出了多智能体Q-learning方法,给出了多智能体Q-learning的学习函数以及具体的学习算法。

The uncertain factors in electricity market that power generation companies will face with are analyzed, then a stochastic game model is built to realize bidding equilibrium of active power among these companies and a concept of virtual unit is led in to quantitatively calculate the energy shortage.

分析了市场环境下发电商面临的不确定性因素,建立了发电厂出力与报价均衡的随机博弈模型,引入了"虚拟机组"的概念对能源短缺进行定量计算。

In contrast with the second, third, fourth, and fifth chapter, the sixdi chapter analyzes the effect of the network externality and the firms' competitive strategy on the dynamic evolution of the market widi a stochastic dynamic game model.

为了验证本文的主要研究结论,各章节均结合相关的案例进行了定性讨论和分析。

Retailers played a price game under price-dependent stochastic demand and revenue sharing contracts.

供应商与零售商通过收益共享契约进行交易,需求随机且价格敏感,零售商间进行价格竞争。

Integrating the research findings in the field of sociology and psychology and the former research foundation, the paper presents a new with aims to systematically analyze stochastic stability of symmetric coordination game (2x2) under the divergence condition.

结合社会学,心理学等研究成果及已有研究的基础,提出了新模型来系统地研究离散条件下对称协调博弈的随机稳定性,新模型增加了可操作性与实用性,便于分析演化中间状态与逆转成本的具体数量关系,能够更加容易地解释现实中许多现象。

Extending the dynamic evolution model of technology standard with network externality to the case of multi firms, based on a stochastic dynamic game model and exploring intensively the effect of network externality on the technology evolution.

但对于新进入厂商而言,它可以选择兼容或不兼容;如果新进入厂商采用适配器和互联等兼容策略,则在位厂商只有掌握了足够的网络规模基础优势,才会拒绝新进入厂商与其兼容,否则它将会选择与新进入厂商兼容。

For the coordination of multiple agents in noncooperation environment, we considered the learning aim as finding a Nash equilibrium strategy through in learning function taking other agent's actions into account. Therefore, we expended the single agent Q-learning algorithm into multiagent Q-learning algorithm. In addition, we proved the convergence of multi-agent Q-learning algorithm under certain general sum stochastic game architecture for only one Nash equilibrium or multiple same Nash equilibrium.

对于非合作环境下的多智能体协调我们通过在学习函数中考虑了智能体的联合行动,提出把学习目标作为求取一个Nash平衡点策略,这样将单智能体Q-learning算法扩展到多智能体的Q-learning算法;证明了在一定的一般和随机对策结构下具有一个或多个相同Nash平衡点条件下多智能体Q-learning算法的收敛性。

Keywords industrial process;self-organization;systematization;chaos;path dependence;evolutionary economics;the science of complexity;evolutionary game;stochastic process;network effects;lock-in;symbiotic indus

Article From 暨南大学;产业经济学博士论文 2006年度产业变迁;自组织性;系统性;混沌性;路径依赖;演化经济学;复杂性科学;演化博弈论;随机过程;网络效应;锁闭;产业生态共生系统;循环型产业

Control layer and parameter layer represent the available number of rows and the concrete value of the available rows of separation matrix respectively. Non-Gaussian was used to measure the independence of the stochastic signals. The kurtosis was maximized/minimized by searching a linear combination of observation signals, and then the independent variables were separated.

用控制层、参数层分别表示分离阵有效行数和有效行数的具体数值,将非高斯性作为随机信号相互独立的度量,通过寻求观测信号的一个线性组合,使其峭度最大化或最小化来分离独立分量。

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