线性Fuzzy控制器实用性研究

针对常规模糊控制器的精度问题，提出一种近似平方律分布的非线性分级方法．该法用于线性模糊控制中效果很好，它不仅可以实现PI算法，而且有更强的鲁棒性．它也是连续PI算法离散化的一种新方法．     

Spectral analysis of phylogenetic data

The spectral analysis of sequence and distance data is a new approach to phylogenetic analysis. For two-state character sequences, the character values at a given site split the set of taxa into two subsets, a bipartition of the taxa set. The vector which counts the relative numbers of each of these bipartitions over all sites is called a sequence spectrum. Applying a transformation called a Hadamard conjugation, the sequence spectrum is transformed to the conjugate spectrum. This conjugation corrects for unobserved changes in the data, independently from the choice of phylogenetic tree. For any given phylogenetic tree with edge weights (probabilities of state change), we define a corresponding tree spectrum. The selection of a weighted phylogenetic tree from the given sequence data is made by matching the conjugate spectrum with a tree spectrum. We develop an optimality selection procedure using a least squares best fit, to find the phylogenetic tree whose tree spectrum most closely matches the conjugate spectrum. An inferred sequence spectrum can be derived from the selected tree spectrum using the inverse Hadamard conjugation to allow a comparison with the original sequence spectrum. A possible adaptation for the analysis of four-state character sequences with unequal frequencies is considered. A corresponding spectral analysis for distance data is also introduced. These analyses are illustrated with biological examples for both distance and sequence data. Spectral analysis using the Fast Hadamard transform allows optimal trees to be found for at least 20 taxa and perhaps for up to 30 taxa. The development presented here is self contained, although some mathematical proofs available elsewhere have been omitted. The analysis of sequence data is based on methods reported earlier, but the terminology and the application to distance data are new.     

“铅树”生成条件的研究

提出了生成“铅树”反应成功的关键是硅酸凝胶的坚固性,找到了较好的硅酸凝胶的制备条件,使该氧化还原平衡移动的反应成功率提高了９０ ％ 以上．     

Pushing Multiple Convertible Constrains into Frequent Itemsets Mining

Constraint pushing techniques have been developed for mining frequent patterns and association rules. How ever, multiple constraints cannot be handled with existing techniques in frequent pattern mining. In this paper, a new algorithm MCFMC （mining complete set of frequent itemsets with multiple constraints） is introduced. The algorithm takes advantage of the fact that a convertible constraint can be pushed into mining algorithm to reduce mining research spaces. By using a sample database, the algorithm develops techniques which select an optimal method based on a sample database to convert multiple constraints into multiple convert ible constraints, disjoined by conjunction and/or, and then partition these constraints into two parts. One part is pushed deep inside the mining process to reduce the research spaces for frequent itemsets, the other part that cannot be pushed in algorithm is used to filter the complete set of frequent itemsets and get the final result. Results from our detailed experi ment show the feasibility and effectiveness of the algorithm.     

小样本复杂系统可靠性增长评定研究

小样本复杂系统的可靠性增长评定具有变母体、试验费用昂贵、试验样本少等特点,用经典统计方法解决这类问题有很多缺陷。采用Bayes方法,综合利用可靠性增长试验过程中的全程信息,结合最大熵方法融合各种来源信息,对可靠性增长的非齐次泊松过程进行了动态描述,在较小样本情况下评定了其可靠性水平。最后,根据提供的模型和方法给出了工程实例。     

高效液相色谱－微波等离子体炬发射光谱联用研究

以气动雾化和超声雾化二种进样方式，考察高效波相色谱－微波等离子体炬原子发射光谱（ＨＰＬＣ－ＭＰＴ－ＡＥＳ）联用的微波等离子体炬原子发射检测器的分析性能．并应用于实际样品分析．     

The use of monthly indicators to forecast quarterly GDP in the short run: an application to the G7 countries

The delayed release of the National Account data for GDP is an impediment to the early understanding of the economic situation. In the short run, this information gap may be at least partially eliminated by bridge models (BM) which exploit the information content of timely updated monthly indicators. In this paper we examine the forecasting ability of BM for GDP growth in the G7 countries and compare their performance to that of univariate and multivariate statistical benchmark models. We run four alternative one‐quarter‐ahead forecasting experiments to assess BM performance in situations as close as possible to the actual forecasting activity. BM are estimated for GDP both for single countries (USA, Japan, Germany, France, UK, Italy and Canada), and area‐wide (G7, European Union, and Euro area). BM forecasting ability is always superior to that of benchmark models, provided that at least some monthly indicator data are available over the forecasting horizon. Copyright © 2007 John Wiley & Sons, Ltd.     

带有偏好锥的样本数据包络分析方法研究

针对传统数据包络分析方法无法依据确定参考面提供评价信息的弱点,给出了带有偏好锥的样本数据包络分析模型(PSam-C2WH)和相应的SCDEA有效性及弱有效性概念。分析了(PSam-C2WH)模型的性质以及它与传统DEA模型之间的关系,探讨了(PSam-C2WH)模型刻画的SCDEA有效性及弱有效性与相应的多目标规划非支配解之间的关系。进而,分析了决策单元在样本可能集中的分布特征、投影性质和模型含义等问题。     

竹阔混交林阔叶树下土壤养分对毛竹生长的影响

在浙江省龙游县和庙山坞自然保护区研究了竹阔混交林阔叶树周围土壤养分空间分布及其与毛竹生长的相关性.结果表明:(1)竹阔混交林中阔叶树周围全竹、新竹平均胸径及新竹数存在带内差异和树种间差异,毛竹生长随距阔叶树基干距离增加而增加;(2)阔叶树周围不同环形带内土壤养分含量分布存在明显差异,且这种差异与其周围毛竹生长分布趋势一致;(3)不同阔叶树周围相同环形带内土壤养分存在显著差异,除了有机磷外其他养分均达显著或极显著水平;(4)阔叶树周围对新竹生长影响的各土壤因子从大到小依次为:全磷、速效氮、全氮、速效磷、有机碳、速效钾;(5)新竹平均胸径与阔叶树周围各土壤养分因子相关性可达显著水平,新竹平均胸径与全氮、全磷呈显著正相关,而与速效钾和C/N呈显著负相关,与各土壤参数交互因子相关不显著.     

Gauss波包的几何描述

改进了R.Penrose的方法,对自由粒子的Gauss波包波函数(概率幅度)赋予了更清楚的几何描述.并将波包中含有的每一个可能k值的平面波,解释为随机过程的一个可能的周期性样本函数,进而解释了“几率包的收缩“.