A NEW DESCRIPA NEW DESCRIPTOR OF AMINO ACIDS BASED ON THE THREEDIMENSIONAL VECTOR OF ATOMIC INTERACTION FIELD

QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP (QSAR) IS A VERY IMPORTANT TOPIC FOR MANY SCIENTIFIC FIELDS AND CAN BE TERMED AS QUANTITATIVE SEQUENCE ACTIVITY MODELS(QSAM)[1] WHEN REFERRED TO THE RESEARCH ON RELATION- SHIPS BETWEEN STRUCTURES AND ACTIVITIES OF BIOLOGICAL MOLECULES, SUCH AS PROTEINS, AND NUCLEIC ACIDS. HOW- EVER, IT IS VERY DIFFICULT TO ESTABLISH A QSAM MODEL,…     

确定威布尔分布三参数的一种计算方法

威布尔分布是描述部件寿伞的一种极为主要的分布,本文对确定威布尔分布的三参数,给出了一种试探性算法,方法简单、实用。     

Resistant orthogonal procrustes analysis

In this paper two alternative loss criteria for the least squares Procrustes problem are studied. These alternative criteria are based on the Huber function and on the more radical biweight function, which are designed to be resistant to outliers. Using iterative majorization it is shown how a convergent reweighted least squares algorithm can be developed. In asimulation study it turns out that the proposed methods perform well over a specific range of contamination. When a uniform dilation factor is included, mixed results are obtained. The methods also yield a set of weights that can be used for diagnostic purposes.     

关于线性NDDE振动性的代数判据（Ⅰ）

本文给一阶线性自治中立型方程一切解振动的充要条件，这些条件仅依赖于系统的参数，从而对自治系统彻底解决了［１］中提出的问题１２     

含参数λ微分方程类型的可积判据

提出几类含参数λ微分方程,借助变量替换法、线性化法、降阶法、交换变量位置法,论证其可积性,给出可积的判据及通解的表达式.扩大微分方程的可积范围,提供其求解的方法及通解公式.     

LabVIEW在曲线拟合中的应用研究

介绍了LabVIEW中用于曲线拟合的子模块，对各子模块的曲线拟合理论作了介绍，重点介绍了非线性Lev-Mar拟合理论，并以例子辅助说明．     

最小二乘法在石油闪点检测中的应用

以铂电阻分度函数为基础，利用最小二乘法算法，给出了拟合多项式，很好地解决了石油闪点检测系统中铂电阻不平衡电桥法测温方案中的非线性误差，其方便性和实用性已在应用中得到验证。     

用“多化一”最小二乘法建立吸附动力学方程

用若干个一元最小二乘法，建立多元经验公式；以吸附动力学方程为例，取得了预期的结果。     

选择最小方差阈值的判别式方法

本文阐述了选择最小方差阈值的各次累积矩判别式方法,证明了零次矩判别式最小方差阈值选择法在理论上可使统计累积矩的次数降到最低,在实用上可进一步减少运算量。     

A Dynamic Forecasting System with Applications in Production Logistics

Production logistics involve the co-ordination of ac tivities such as production and materials control (PMC), inventory management, p roduct life cycle management, etc. Those activities demand for an accurate forec asting model. However, the conventional methods of making sell and buy decision based on human forecast or conventional moving average and exponential smoothing methods is no longer be sufficient to meet the future need. Furthermore, the un derlying statistics of the market information change ...