两个更一般的求极限公式

推广了文献[1～3]的结果，给出了两个更为一般的求极限公式。     

添加晶种对硅酸盐水泥生料易烧性影响的研究

采用实验室制备不同种类单矿物，纯熟料及白水泥熟料为晶种，利用ＤＴＡ，ＸＲＤ及测定游离石灰等方法，研究了其对硅酸盐水泥生料易烧性的影响。结果表明；铁相的作用在四种单矿物中最为明显，其它三种主要矿物也均有不同程度地促进煅烧过程的熟料矿物形成的作用。     

A Neuro-fuzzy Coding for Processing Incomplete Data: Application to the Classification of Seismic Events

This letter presents a method for modelling and processing incomplete data in connectionist systems. The approach consists in applying a neuro-fuzzy coding to the input data of a neural network. After an introduction to the different kinds of imperfections, we propose a neuro-fuzzy coding in order to take incomplete data into account. We show the efficiency of this coding on the problem of the classification of seismic events. The results show that a neuro-fuzzy coding of the inputs of a neural network increases the performance and classifies incomplete data with little affect on the results.     

资产重组中金融风险的H∞控制理论应用研究

在随机资产模型的基础上，建立了资产重组问题的离散时间系统模型，运用降阶方法推导了在资产重组过程中使风险最小的奇异控制策略．最后，根据复变函数理论求解范数的方法求得了问题的解析解．     

基于FLANN的动态称重法

根据“逆模型”的思想 ,利用神经元网络良好的逼近能力 ,基于函数联接型神经网络 ( FLANN)的传感器动态补偿方法和最小二乘法 ,提出了一种车辆动态称重解决新方法     

神经元网络——它的背景、进展和问题

近年来神经元网络研究的进展,在国际学术界引起了强烈的轰动,成了各界学人的热门话题.本文分析了神经元网络研究的来龙去脉,简要介绍了若干代表性的进展,指出了这一研究的意义、问题和进一步研究的方向,希望引起各界同仁的关注.     

高压射流的理论分析

本文研究了高压射流装置喷咀部分液流的动态特性,建立了数学模型,讨论了一种拟线性偏微分方程组的哥西问题,并利用特征线将此问题转化为非线性积分方程组,给出了它解的存在唯一条件和解的逐次迭代公式。     

Gaussian process assisted coevolutionary estimation of distribution algorithm for computationally expensive problems

In order to reduce the computation of complex problems, a new surrogate-assisted estimation of distribution algorithm with Gaussian process was proposed. Coevolution was used in dual populations which evolved in parallel. The search space was projected into multiple subspaces and searched by sub-populations. Also, the whole space was exploited by the other population which exchanges information with the sub-populations. In order to make the evolutionary course efficient, multivariate Gaussian model and Gaussian mixture model were used in both populations separately to estimate the distribution of individuals and reproduce new generations. For the surrogate model, Gaussian process was combined with the algorithm which predicted variance of the predictions. The results on six benchmark functions show that the new algorithm performs better than other surrogate-model based algorithms and the computation complexity is only 10% of the original estimation of distribution algorithm.     

三次样条函数在假设模态综合法中的应用

对复杂结构进行振动分析的模态综合法已发展得较为成熟,它在应用上的限制主要是部件模态假设的困难(尤其是非规则部件),而综合结果的可信度在相当程度上取决于是否能得到一组合理的假设模态 。本文介绍的利用三次样条函数插值法求取转轴耦合系统各部件连续主模态的方法,有效地解决了这个问题。     

基于熵、能量函数的BP网改进算法

为了增强ＢＰ网隐层的归纳能力，文［１］提出了调整权重的熵方法，我们在文［２］中给出了基于能量函数的改进算法，本文把文［１］算法与文［２］算法结合在一起给出了新算法，实验证明此算法既能大大加快收敛速度，又可增强网的归纳能力。