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The first stage is an endothermic reaction, and the second one is an exothermic reaction.

采用双组分分阶段一级反应模型求出了四个污泥样品的表观活化能和指前因子,给出了样品热解的动力学方程,通过理论计算,双组分分阶段一级反应模型的理论数据与实验数据吻合良好。

Experiments on the two drifters showed that the model, with independent variables of sea surface geostrophic current, Ekman drift, and mean circulation, has the best efficiency of simulating real trajectories.

对南海中伴随涡旋运动的2个浮标模拟试验显示,诸多模型中以海表地转流、风海流及背景流为自变量的回归模型模拟浮标漂流轨迹效果较好。

The main content of preparation before scoring is selection of characteristics, which mainly uses Logistic regression, contingency table analysis and artificial neural network. Personal credit scoring and evaluation mainly uses general discriminant analysis, refined decision tree model, improved genetic algorithm, probability neural network and behavioral scoring model. The effect test of personal credit scoring includes fitting effect test and fitness test. The former involves right prediction rate, Kappa consistency test, ROC curve, and the latter includes likelihood ratio test, Hosmer-Lemeshow test, etc.

评分前的准备工作主要是特征变量的筛选,其中使用的主要方法为Logisitic回归、列联表分析和人工神经网络;本文使用的个人信用评分与评估方法为广义判别分析、精练决策树模型、改进遗传算法、概率神经网络和行为评分模型;个人信用评估的效果检验包括拟合效果检验和拟合优度检验两个方面,前者涉及的方法有预测的正确率、Kappa一致性检验、ROC曲线,后者主要包括似然比检验、Hosmer-Lemeshow检验等。

The former involves right prediction rate, Kappa consistency test, ROC curve, and the latter includes likelihood ratio test, Hosmer-Lemeshow test, etc.

评分前的准备工作主要是特征变量的筛选,其中使用的主要方法为Logisitic回归、列联表分析和人工神经网络;本文使用的个人信用评分与评估方法为广义判别分析、精练决策树模型、改进遗传算法、概率神经网络和行为评分模型;个人信用评估的效果检验包括拟合效果检验和拟合优度检验两个方面,前者涉及的方法有预测的正确率、Kappa一致性检验、ROC曲线,后者主要包括似然比检验、Hosmer-Lemeshow检验等。

In this paper, searching technology of product information based on knowledge was researched. On the aspect of cognition, we researched the relation between user\'s cognition and designer\'s cognition, explored the knowledge flow in the process of product development, set up a matching model between user\'s knowledge and designer\'s knowledge, brought forward a modeling method based on users\' cognition, and set up a measurable model of product feature; coded and decoded product form element, set up a computer aided product form design system and image evaluating system based on the result of measurement. Accordingly, the product style and product image were systematically discussed, the recognition space of product style and image was constructed, the factors that affect product style and image were put forwards and analyzed, and the relation between product image and form elements was tested by experiments. Furthermore, the product automatic recognition technologies were discussed.And then, with the media of concept model and the kernel of parameter technology, a mathematic model that describing product layout design by constraints and rules was presented. Furthermore, a product design integration system based on imagery thinking including product fonii base system based on imagery thinking, product form design system based on imagery thinking and product form intelligent design system based on space layout were set up, which tested the system and provided a new way for product innovative design.

本文以产品特征描述目标对象——产品,研究一种基于知识的产品信息检索技术,在对产品的认知方面,研究了用户认知和设计师认知之间的关系,研究了产品开发过程中的知识流传递过程,建立了用户知识和设计知识之间的匹配模型,提出了一种基于用户知识的产品建模方法,它不但提取了产品的特征,还建立了产品特征量化模型,从而实现了产品知识的量化描述;对产品造型元素进行分解和编码,利用实验量化结果构造计算机辅助产品形状设计系统和心象评价系统;使用量表分析造型元素的心象尺度,构造输入、输出系统,建立了产品设计知识库咨询系统,可以方便用户和设计师来导入或查询产品设计方案;实现了对产品造型心象的分类知识库系统,便于设计师存储或查询,辅助设计师进行产品创新设计;通过实验量化了产品造型参数和产品心象参数之间的关系,并在此基础上建立了基于心象的产品形状设计系统,为产品空间布局方案智能生成系统奠定基础;在基于知识库的基础上建立了产品空间布局方案智能生成系统,通过更改概念产品造型参数,实现了产品设计方案的智能生成,使系列化的设计工作变得十分方便;将产品的心象运用到实际设计过程中,能够引导流行趋势,创造出产品无形的设计价值。

At the same time, 9 groups data are conversely choosed according to uniform orthogonal array from 71 groups observed data of suspended grid plunge pool, the mold is set up by the method of PPR, the surplus 62 groups data are used to proceed examination, the empirical type optimum design of experiments are proceeded inversely, all of these confirm that a lot of model experimental results can be replaced by a few of test times under nonstrict uniform experimental condition. The result can provide the feasibility reference basis for same kind of model design of experiments in future.

同时从71组悬栅消力池观测数据中,按均匀正交表反选9组数据,用PPR方法建模,剩余的62组数据进行检验,逆向进行了实证性优化试验设计,证实了即使在非严格的均匀试验条件下,仍然可以用少量的试验次数替代大量的模型试验结果,为今后同类模型试验设计提供可行性的参考依据。

Put the individual diversity and following behavior into account, with phototaxis and following behavior of two evacuation model parameter, produce the Ant Colony Algorithm Mathematical Model of High buildings pedestrian evacuation.

根据蚁群算法的基本原理及Ant-Density模型,综合考虑了火灾时期人员的个体差异和从众行为,利用信息素和禁忌表等指标将趋光趋众2个疏散模式参数化,建立了高层建筑人员疏散的蚁群算法数学模型。

For organizing vegetation submodel, started with the bottom-up gateway to agglomerate plot-data. The vegetation types must be confirmed before predictive vegetation mapping, therefore designed a transforming program to combine 585 plot-data from different surveys for the purpose. But the result of the classification and ordination of the combined plot-data couldn't display comprehensive vegetation types of Taiwan, because the plots were insufficient and disproportionate. Consequently, this study adopted the top-down gateway to divisive vegetation. After referring to Taiwan and east-Asia vegetation research papers and American national vegetation classification system etc., the physiognomic classification scheme of Taiwan had been drafted as vegetation submodel. The scheme included 4 levels: 2 classes, 5subclasses (subarctic, coldtemperate, cooltemperate, warmtemperate, subtropical), 8 groups (based on phenology and types of predominant leaf) and 16 formations (based on moisture regime and predominant taxa). And, the scheme dealt completely with the diverse nomenclatures of vegetation types in the past.

为建立植群亚模型,首先依「整合大量样区资料,由下而上的低阶植相聚类」之途径,设计建档程序及转档程式,成功整并不同来源之585个样区资料,但因样区数目不足且分布不均,分析结果未能显示出台湾完整的植群类型;故转循「预先设定植群类型,由上而下的高阶形相分类」之途径,经参考他国植群分类系统及台湾、东亚植群分类研究报告,订定分类原则及架构,提出4阶层之潜在植群形相分类方案:(1)寒原、森林2类群系纲;(2)亚寒带、冷温带、凉温带、暖温带、亚热带5类群系亚纲;(3) 8类群系组表徵优势植群之叶片的物候与形态;(4) 16类群系说明其水分境制及优势分类群;此方案统一处理了过去各种有关植群划分之纷岐名制,方案之各阶植群类型亦即本研究之植群亚模型。

In this paper, the method system of using Fuzzy-AHP to make up the input - output form and to establish input - output mathematical model is advanced, and it is used to study theoretical electric-price for a regin.

本文提出了应用Fuzzy-AHP编制投入产出表和建立投入产出模型的方法,并用来研究地方电网理论电价问题,以某县为例进行了验证,结果表明方法和模型是合理可行的。

In the special case of GLM—normal linear model with classical link function,we compare our methods with existing ones and our methods perform more excellently.Finally,sequential detection of structural changes is studied in nonparametric regression models o Based on Nadaraya-Watson estimator of regression function,we calculate the residual series and construct "residual cumulative sum process" with weight values of kernel estimator of "long-run average density function".

在随机模拟一节中,给出了布朗桥的h-增量过程的"Max-Max"泛函统计量的经验分位数表,并在随机模拟中验证了文中所提"部分和"与"滑动和"方法的有效性,同时在广义线性模型取"典则连接函数"时的特例—正态线性模型场合,与已有方法进行了对比,结果显示文中所提方法表现更优。

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