一类时变需求且存货影响销售率的EOQ模型

从实际背景出发,在R AM P型需求和存货影响销售率条件下,讨论了一类以缺货开始的变质性物品的EOQ模型.给出了模型的求解方案及单位时间内平均利润最大化的两个充分条件,并用数值算例进行了验证.     

A two-echelon base-stock inventory model with Poisson demand and the sequential processing of orders at the upper echelon

We consider a two-echelon inventory system with a number of non-identical, independent ‘retailers’ at the lower echelon and a single ‘supplier’ at the upper echelon. Each retailer experiences Poisson demand and operates a base stock policy with backorders. The supplier manufactures to order and holds no stock. Orders are produced, in first-come first-served sequence, with a fixed production time. The supplier therefore functions as an M/D/1 queue. We are interested in the performance characteristics (average inventory, average backorder level) at each retailer. By finding the distribution of order lead time and hence the distribution of demand during order lead time, we find the steady state inventory and backorder levels based on the assumption that order lead times are independent of demand during order lead time at a retailer. We also propose two alternative approximation procedures based on assumed forms for the order lead time distribution. Finally we provide a derivation of the steady state inventory and backorder levels which will be exact as long as there is no transportation time on orders between the supplier and retailers. A numerical comparison is made between the exact and approximate measures. We conclude by recommending an approach which is intuitive and computationally straightforward.     

COSEARCH: A Parallel Cooperative Metaheuristic

In order to design a well-balanced metaheuristic for robustness, we propose the COSEARCH approach which manages the cooperation of complementary heuristic methods via an adaptive memory which contains a history of the search already done. In this paper, we present the idiosyncrasies of the COSEARCH approach and its application for solving large scale instances of the quadratic assignment problem (QAP). We propose an original design of the adaptive memory in order to focus on high quality regions of the search and avoid attractive but deceptive areas. For the QAP, we have hybridized three heuristic agents of complementary behaviours: a Tabu Search is used as the main search algorithm, a Genetic Algorithm is in charge of the diversification and a Kick Operator is applied to intensify the search. The evaluations have been executed on large scale network of workstations via a parallel environment which supports fault tolerance and adaptive dynamic scheduling of tasks.     

透射式跑道能见度激光测量仪的研究

介绍了一种利用激光测量跑道水平及斜视能见度的智能化仪器。该仪器主要由光学系统、信号放大与处理系统及显示系统三部分组成。简要介绍了该仪器的基本结构、工作原理和主要技术指标，讨论了其中的技术难点及其相应的解决办法。     

Cooperation of reducing species for NO reduction over Ag/Al2O3 under oxidizing conditions

Summary The cooperation effect of reducing species for selective reduction of NO over Ag/Al₂O₃ has been investigated in the presence of excess oxygen. When the combinations of propene or propane and ethanol or methanol were used as reducing agents, NO reduction took place over a wider temperature range, compared with a single hydrocarbon as reducing agent.     

油松容器苗和裸根苗生长与造林效果对秋季施肥的响应

【目的】探究不同秋季施肥处理条件下油松容器苗和裸根苗苗期生长、养分积累和造林效果的差异,为生产上培育油松良种壮苗提供理论基础和技术支持。【方法】以大田培育的当年生油松播种容器苗和裸根苗为研究对象,设置0(对照)、12、24、36 mg/株4种秋季施肥水平,于90%以上苗木形成顶芽后进行施肥处理,并于翌年进行雨季造林试验。测定造林前的苗高、地径、生物量、根冠比、养分含量及造林后苗木成活率和苗高、地径相对生长量等指标,分析出圃苗木性状与造林效果之间的相关性。【结果】秋季施肥24 mg/株处理下的油松容器苗苗高、地径、生物量、氮、磷、钾含量均表现最佳,该处理下容器苗整株生物量、氮、磷、钾含量较对照分别增加了41.8%、31.4%、65.6%和48.8%;油松裸根苗受秋季施肥影响较小。容器苗氮含量在各器官中的分布从大到小表现为根>叶>茎,裸根苗氮含量在各器官中的分布从大到小表现为叶>根>茎;磷、钾含量在容器苗和裸根苗各器官中的分布从大到小均表现为叶>根>茎。雨季造林试验结果显示,油松造林效果受苗木类型影响显著,容器苗造林当年和第2年春季的苗高、地径相对生长量...     

基于Bert股吧舆情分析的特征融合股价走势预测研究

传统股价预测模型往往只考虑时序性数据且局限于模型自身机制,而忽略舆情对股价的影响,导致预测精度不高,针对该问题,提出基于 Bert 股吧舆情分析的特征融合预测模型对股价收盘价进行涨跌幅预测。 首先,采用Bert 自然语言处理对股吧舆情以及公司公告政策进行情感分类,并转化为虚拟变量,构建金融舆情情感特征库;然后将金融舆情特征库和时序性数据合并构建特征融合矩阵;最后输入长短期记忆网络模型(LSTM)进行股价收盘价预测,并得出股价的涨跌结果。 以华银电力(600744. SH)为例进行实证分析,实验结果表明:引入股票情感特征后的模型,得到的股价走势准确率上升了 8. 63%,预测收盘价的回归指标 FMAPE FRMSE 分别下降了 23. 59%、22. 9%,R2 提高了 8. 11%,证明引入新的舆情情感特征在实际预测中能提高股价预测的准确率,可以作为精准预测股价走势的手段。     

基于主被动合作博弈的医患关系研究

针对我国医患关系日趋紧张,医患矛盾逐渐凸显这一问题,在对中国近五年医患事件进行分析的基础上,分别从信任程度、信息不对称程度、诊疗代价等多个视角出发,利用演化博弈理论和复制动态方程,构建了医患双方合作策略选择演化博弈模型,探究了影响医患关系演化的相关因素。研究表明:从长期来看,医患关系博弈系统存在两种演化路径:主动合作和被动合作;增大医患双方的信任程度,减小医患双方的信息不对称程度,降低医患双方合作成本,增大以政府为主导的仲裁机构对医患双方的奖励和惩罚都将会促使医患双方由被动合作转向主动合作。     

开展生命能理论研究，提高人类生存质量

揭示人类生命的奥秘．探求人类生存条件．提高人类生命质量-延长人类寿命是人们共同关注的问题。中日合作、交流．从不同学科领域开拓生命能研究视野．提高研究水平．为人类健康生存做一些有益的探讨。     

基于神经网络的股市预测

本文研究了基于神经网络的股票预测方法．针对目前存在的问题,提出了联合Davidon最小二乘算法及遗传算法来综合训练网络结构和权值的新方法．经对上证指数的模拟预测表明,通过合理地选取参数,可获得满意的预测效果．