基于BP神经网络和SVR的Fund?o尾矿坝排水数据预测对比研究

针对尾矿库运行过程中安全预警问题,选取2015年巴西Samarco铁矿溃坝事故案例,研究BP神经网络和SVR方法在排水数据预测的适用性。综合分析了排水数据的复杂且非线性的特点,以库水位、降雨量和干滩长度为输入特征,采用上述2个模型对尾矿坝排水数据进行预测。研究结果表明:基于BP神经网络预测结果的最大相对误差不高于4.35%;基于SVR算法的最大相对误差不高于9.21%;Fundo坝的排水预测结果是可行的,BP神经网络的预测精度更高,而SVR模型的运算速度更快。研究结果可为矿山安全工作的快速响应和溃坝预警提供信息支撑和参考依据。     

基于支持向量机的管制疲劳检测模型研究

管制疲劳是影响民航安全的重大隐患,准确检测疲劳状态是进行疲劳预警、降低疲劳风险的关键。提出应用支持向量机模型融合多生理参数和眼动指标进行管制疲劳检测,通过MP150多导生理记录仪与眼动仪,采集模拟管制试验中正常与剥夺睡眠状态下被试的试验数据,同时记录其Karolinska疲劳等级和操作绩效。结果表明,RR间期、LF/HF、快慢波比值、PERCLOS和扫视速度均与管制疲劳呈较强相关,利用支持向量机融合五项指标构建管制疲劳检测模型,对于五级疲劳度的识别准确率为78. 1%,判断正常组与剥夺睡眠组的准确率为94. 2%。     

醇酚类化合物毒性的QSAR研究

化合物毒性与描述符通常呈现为非线性关系,量子化学计算的化合物分子描述符中包含诸多无关特征与冗余特征.最大相关最小冗余(m RMR)是应用较广泛的特征选择方法,但当前的m RMR对连续型因变量不适用,且存在相关性测度与冗余性测度不可比的缺陷.定量构效关系(QSAR)研究中因变量(毒性)与自变量(描述符)多为连续型变量,本文以非线性的距离相关系数(d Cor)取代线性的Pearson相关系数(R),在非线性条件下实现了相关性测度与冗余性测度可比,由此提出了新的特征选择方法 m RMR-d Cor.3个醇酚类化合物毒性QSAR数据集的分析表明,基于m RMR-d Cor选择特征的支持向量回归(SVR)模型独立预测Q2分别为0.954、0.941、0.981,明显优于参比模型与文献报道,m RMR-d Cor选择的多数保留分子描述符得到文献报道支持.m RMR-d Cor在化合物QSAR、定量构质关系等研究中有广泛应用前景.     

SVM application in hazard assessment: Self-heating for sulfurized rust

In order to assess the oxidation self-heating hazard of sulfurized rust, for particular ambient conditions in crude oil tanks, the support vector machine (SVM) technique is applied to predict the maximum temperature (T_max) of oxidation self-heating process. Five governing parameters are selected, i.e. the water content, mass of sulfurized rust, operating temperature, air flow rate and oxygen concentration in the respiratory/safety valve. The efficiency and validity of the SVM predictions are investigated in the case of two sets of data: more than 85 experiments performed in academic lab (China) and almost 17 additional results collected from existing literature. Two main steps are also discussed: the training process (on selected subsets of data) and prediction process (for the remaining subsets of data). It can be concluded that for both datasets the maximum temperature (T_max) values calculated by SVM technique were in good accordance with the experimental results, with relative errors smaller than 15% except for a few cases.The SVM technique seems therefore to be relevant and very helpful for complex implicit processes such as chemical reactions, as it is the case of the oxidation of sulfurized rust in oil tanks. Furthermore, such predictive methods can be continuously be improved through additional experiments feedback (larger databases) and can then be of crucial help for monitoring and early warning of hazardous reactions.     

公务员录用分配方案探讨

针对现行公务员录用分配制度存在的问题，通过细致的分析，探讨关于公务员录用分配的最佳策略．决策过程中以应聘者能力与各部门要求的偏差为标准，建立模型，且考虑所有应聘者的意愿时，分三种情况进行讨论：都服从志愿调配；都不服从志愿调配；既有服从调配的、又有不服从志愿调配的，使模型更接近实际情况．     

工业生态效率对PM2.5污染的影响及溢出效应

针对2004—2016年中国地级市工业生态效率与PM_2.5的时空关联特征和影响作用关系的研究表明：（1）工业生态效率与PM_2.5呈时空交错分布特征,PM_2.5高污染区连片分布于华北平原及长江中下游城市,工业生态效率高等级区集中分布于长三角、珠三角和环渤海经济区等沿海地市及中西部城市群内部分中心地市;（2）工业生态效率对PM_2.5的冲击表现出“U型”变化的负向累积效应,PM_2.5对工业生态效率的冲击则表现为“倒U型”变化的正向累积效应;（3）工业生态效率与PM_2.5呈稳定时空关联演化特征,高高关联类型区集中分布于京津冀城市群、山东半岛城市群和长三角城市群内大部分城市,低低关联类型区多分布于鄱阳湖城市群、关中城市群及西部地市;（4）工业生态效率对PM_2.5总体上具有显著且稳健的正向影响,但表现出明显的空间异质性,工业集聚水平、科技创新及城市绿化率起到显著负向影响,而城市规模、环保监督及产业结构系数影响并不显著。     

关于模糊综合指数与模糊向量加权记分

通过将模糊向量加权记分与模糊综合指数的计算步骤、计算内容和方法一一进行比较,证明模糊向量加权记分与模糊综合指数无本质差异。所采用的分制规定差异,只能使模糊向量加权记分所得结果更加不合理。采用模糊综合指数法,选用恰当的权重,可以克服“优劣倒置”现象。     

Learning Machines Applied to Potential Forest Distribution

The clearing of forests to obtain land for pasture and agriculture and the replacement of autochthonous species by other faster-growing varieties of trees for timber have both led to the loss of vast areas of forest worldwide. At present, many developed countries are attempting to reverse these effects, establishing policies for the restoration of older woodland systems. Reforestation is a complex matter, planned and carried out by experts who need objective information regarding the type of forest that can be sustained in each area. This information is obtained by drawing up feasibility models constructed using statistical methods that make use of the information provided by morphological and environmental variables (height, gradient, rainfall, etc.) that partially condition the presence or absence of a specific kind of forestation in an area. The aim of this work is to construct a set of feasibility models for woodland located in the basin of the River Liébana (NW Spain), to serve as a support tool for the experts entrusted with carrying out the reforestation project. The techniques used are multilayer perceptron neural networks and support vector machines. Their results will be compared to the results obtained by traditional techniques (such as discriminant analysis and logistic regression) by measuring the degree of fit between each model and the existing distribution of woodlands. The interpretation and problems of the feasibility models are commented on in the Discussion section.     

基于支持向量机的高速公路事件检测

针对交通领域中的事件检测(无事件模式和事件模式)模式识别问题,描述了支持向量机(SVM)支持的基本方法,建立了基于线性(linear function)、多项式(polynomial function)和径向基(radial basis function)3种核函数的事件检测SVM模型。采用高速公路路段I-880线圈数据集和事件数据集验证模型,结果发现:无论对于向北、向南或混合方向的事件检测,在3个SVM模型中,SVM(P)检测效果最好,SVM(L)最差。SVM算法具有避免局部最小,实现全局最优化,更好的泛化效果的优点,是高速公路事件检测的一种很有潜力的算法。     

具双T-DNA区的大麦黄矮病毒复制酶基因RNAi植物表达载体的构建(英文)

RNAi系双链RNA诱导同源mRNA降解,导致特定基因表达沉默的一种现象.RNAi技术是通过基因工程防治植物病毒病的最佳途径.由大麦黄矮病毒(Barely yellow dwarfvirus,简称BYDV)引起的禾谷类黄矮病发病面积和危害程度在我国呈加重趋势.BYDV-GAV是当前流行的大麦黄矮病毒株系,本文针对BYDV-GAV复制酶基因序列,构建能在细胞内转录形成发卡RNA双链结构的表达盒,并将其置于中间载体pVec8-2b的T-DNA区,pVec8-2b的另一T-DNA区含有hpt选择报告基因表达盒.具双T-DNA区的病毒复制酶基因发卡RNA高效表达载体已导入根癌农杆菌,可用于诱导植物RNAi,创制无选择标记基因的抗大麦黄矮病转基因作物.