Enhanced Oil Recovery: The Synthesis of Anthraquinone [1, 2-C] Alkylisoxazole

Anthraquinone [1, 2-C] methylisoxazole is synthesized from 2-ethylanthraquinone through nitration and treating with oleum. The different methods of 2-ethylanthraquinone nitrated were discussed. The optimum conditions were determined. The structure of the product was confirmed by MS and ¹H NMR.     

辽河油田变质岩潜山测井综合评价

针对辽河油田太古界变质岩潜山储层测井评价中存在的难点问题,从变质岩测井评价机理入手,根据不同岩性在测井响应值上的差异,建立变质岩岩性和储层识别图版,划分变质岩储层类别.根据变质岩的储集空间类型,建立储层参数解释模型,完善了太古界变质岩裂缝性储层测井评价方法,并应用于变质岩油藏评价研究,效果显著.     

工程结构动态特性智能优化设计研究

本文针对在传统结构优化设计中，优化过程复杂和费时的问题，采用神经网络的智能算法对结构进行动态优化设计，并给出了具体的设计方法。以门座起重机筒型支柱结构为例，应用此方法对其进行了动态优化设计计算，从而证明了该算法的有效性。     

用过零时间法分析的中能重离子探测器望远镜

本文描述了中能重离子探测器望远镜ＮＥ１０２Ａ＋ＣｓＩ（Ｔｌ）＋ＰＭＴ采用过零时间的方法鉴别粒子，实验结果表明可清楚地分辨ｐ、ｄ、ｔ同位素和探测到的全部碎片。     

固定床吸附器透过曲线参数优化方法

开发了一种固定床吸附器透过曲线参数估值的优化方法，用Ｂａｓｉｃ语言编制了运算程序，并在普及型２８６微机上考核了该法的可靠性，相对误差在１％以下，运算机时７．５ｍｉｎ。     

火箭弹道附近大气参数辨识系统的研究

研究了利用雷达实测数据对沿火箭飞行弹道的大气参数进行辨识和外推落点的方法，进而提出了一个对效力射诸元进行修正的方法。在此基础上，对软件系统进行了设计。最后通过仿真试验，分析了系统的准确性。     

Performance analysis of the forgetting factor RLS algorithm

An analysis is given of the performance of the standard forgetting factor recursive least squares (RLS) algorithm when used for tracking time-varying linear regression models. Three basic results are obtained: (1) the ‘P-matrix’ in the algorithm remains bounded if and only if the (time-varying) covariance matrix of the regressors is uniformly non-singular; (2) if so, the parameter tracking error covariance matrix is of the order O(μ + γ²/μ), where μ = 1 - λ, λ is the forgetting factor and γ is a quantity reflecting the speed of the parameter variations; (3) this covariance matrix can be arbitrarily well approximated (for small enough μ) by an expression that is easy to compute.     

Identification of Hammerstein systems with asymmetric dead-zone nonlinearities using canonical parameterized model

A non-iterative identification method with parameterization of the unknown dead-zone is proposed for Hammerstein systems in presence of asymmetric dead-zone nonlinearities.The canonical parameterized model which is a single expression without segmentation is utilized to describe the dead-zone,based on which a universal-type parametric model can be established to approximate the entire system.This model can be established without separating the nonlinear part from the linear part.The dead-zone parameters and the coefficients in the linear transfer function can be estimated simultaneously according to the proposed algorithm.Numerical experiments are presented to illustrate the effectiveness of the proposed scheme.     

中国民族乐器的特征值提取和分类

文章处理的是中国民族乐器的识别分类问题.提出了一种基于合适的音频特征值选择方法,该方法在基于MPEG_7标准的声学特征,在特征值的时间特性上进行改造,并加入改进后的特征值.从提取的音频特征值数据集选择K-最近邻算法.特别是对没有加入新特征值和加入新特征值后生成分类器模型的性能进行了比较.实验结果证明新特征值的加入提高了分类器的F1度量值.     

基于动态贝叶斯网络的汉语方言辨识

方言的差异性在语音层面上反映在时间序列结构的不同。传统的语音建模方法只能建立稳定的时间序列结构,而方言语音是典型的动态时变时间序列结构。为了更好地提取方言时间序列结构,文中采用动态贝叶斯网路（DBN）进行建模分析,并对DBN的构建方法进行了研究,这种结构与常用于语音识别中的隐马尔可夫模型的不同之处在于它揭示多个时间片内的节点之间的影响。文中探索了不同结构和参数对识别效果的影响。文中的研究表明动态贝叶斯网络对汉语方言的识别比传统方法要好,识别率达到了98．9％。