企业节能减排的监控系统研究

经济发展与节能减排是一个矛盾的统一体,如何在二者之间进行平衡,考验着中国人的智慧。通过行业分类选取恰当的节能减排指标、采用统计学的基本原理、应用质量控制的技术与方法,提出了节能减排的指标体系和监控方法,以期对节能减排实施动态监控,对我国现阶段的企业节能减排工作有着重要的参考价值。     

石油企业财务风险评价神经网络模型的建立

石油企业财务风险评价是石油行业的重要课题.在确立石油企业财务风险评价指标体系的基础上,建立了基于模糊神经网络的石油企业财务风险评价模型.该评价模型分为模糊量化模块和模糊神经网络(FNN)模块,可根据实际问题进行具体调节,具有学习的功能.经过对200多家石油企业的实证分析,结果表明该模型网络预测误差小,是一种可靠、有效的...     

Study on early warning index of spatial deformation for high concrete dam

Owing to the deficiency in early warning for high concrete dam,a formula was established to characterize the deformation behavior of high concrete dam as a whole.The early warning index of spatial deformation was calculated by low probability principle on the basis of the deformation entropy formula proposed.The steps were as follows.Firstly,the probability method was utilized to define the degree of order and degree of chaos for each survey point.Secondly,the weight distribution among the survey points was...     

因子分析法和熵值法在高校科技创新评价中的应用

在已有研究的基础上总结出了一套科学合理并具有可行性的高校科技创新评价指标体系,并把因子分析法和熵值法应用于高校科技创新评价.首先对高校科技创新评价体系的5个一级指标分别进行因子分析,然后运用熵值法对其确定权重.分析结果表明两种方法的结合使用能够简化分析对象的结构,使评价结果更具科学性、客观性.     

ZrO2对CaO-SiO2系玻璃析晶的影响

通过DSC曲线研究了不同含量的ZrO2对CaO-SiO2系玻璃析晶的影响,根据JMA方程计算动力学参数(如析晶活化能E、频率因子ν、晶化指数n)。从计算结果可以看出,随着ZrO2含量的增加,析晶活化能E减少,而频率因子ν和晶化指数n增加。当ZrO2含量为7%时,E值最小:235.58kJ/mol;n值最大:4.70。说明ZrO2在CaO-SiO2玻璃体系是有效的晶核剂。     

中国信息服务业空间集聚研究

通过产业集聚的EG指数对中国各省份信息服务业的空间集聚程度进行研究,得出集聚程度比较显著.在此基础上,找到这一服务业的两个相关指标,利用产业集中度CRn判断出信息服务业主要集中于北京、广东等六个地区,然后对两指标数据进行无量纲化处理,加权求和得到新的综合指标,最后对这一新指标进行了系统聚类分析,得知这一产业主要集中在北京和广东两个地区.     

我国宏观经济与证券市场关系的实证分析--基于名义 GDP 和上证指数发展速度的视角

宏观经济和证券市场的关系一直受到人们的关注,由于数据的选取和研究方法上的不同,导致宏观经济与证券市场的关系存在不同的结论或解释。从名义 GDP 和上证指数发展速度的视角,运用 HP 滤波以及 SVAR 等方法实证研究了宏观经济和证券市场的关系。研究发现：宏观经济和证券市场存在显著的因果关系;短期证券市场的波动是经济偶然性波动的预期,两者之间的滞后期效应与当期效应相互影响;方差分解表明宏观经济对于证券市场的长期贡献度很大。     

大型精密机械设备的验收与管理

对学院使用的大型精密机械设备——五轴加工中心和数控铣床等设备的安装条件、验收指标、技术管理和日常维护进行了阐述,确保设备到位后及时安装和有效使用。     

Zipf定律与网络信息计量学

作为文献计量学重要定律的Zipf定律已在许多领域得到较广泛的应用,网络信息计量学伴随着网络信息的激增而受到人们越来越大的关注。该文结合搜索结果数量的分布情况,提出了在网络信息计量学中仍然存在Zipf定律的猜想,并采用公开的词语集在几个代表性的搜索引擎中进行实验验证,证实了搜索结果数目近似服从Zipf定律的结论,其中Baidu与So搜索结果的Zipf指数为0.003。     

Use of a dark object concept and support vector machines to automate forest cover change analysis

An automated method was developed for mapping forest cover change using satellite remote sensing data sets. This multi-temporal classification method consists of a training data automation (TDA) procedure and uses the advanced support vector machines (SVM) algorithm. The TDA procedure automatically generates training data using input satellite images and existing land cover products. The derived high quality training data allow the SVM to produce reliable forest cover change products. This approach was tested in 19 study areas selected from major forest biomes across the globe. In each area a forest cover change map was produced using a pair of Landsat images acquired around 1990 and 2000. High resolution IKONOS images and independently developed reference data sets were available for evaluating the derived change products in 7 of those areas. The overall accuracy values were over 90% for 5 areas, and were 89.4% and 89.6% for the remaining two areas. The user's and producer's accuracies of the forest loss class were over 80% for all 7 study areas, demonstrating that this method is especially effective for mapping major disturbances with low commission errors. IKONOS images were also available in the remaining 12 study areas but they were either located in non-forest areas or in forest areas that did not experience forest cover change between 1990 and 2000. For those areas the IKONOS images were used to assist visual interpretation of the Landsat images in assessing the derived change products. This visual assessment revealed that for most of those areas the derived change products likely were as reliable as those in the 7 areas where accuracy assessment was conducted. The results also suggest that images acquired during leaf-off seasons should not be used in forest cover change analysis in areas where deciduous forests exist. Being highly automatic and with demonstrated capability to produce reliable change products, the TDA-SVM method should be especially useful for quantifying forest cover change over large areas.