复合跟踪微分器在电容式位移传感器中的应用

针对从含噪原始信号中提取位置以及速度信息,经典跟踪微分器存在不能很好兼顾相位滞后和噪声放大问题、参数多,调试复杂等不足.在跟踪微分器等效线性分析基础上,提出复合形式跟踪微分器,用于电容式位移传感器位置信号跟踪以及速度信号估计,通过MATLAB\SIMULINK仿真以及实验平台测试,结果表明:在跟踪频率1 Hz、幅值1含噪声正弦信号中,复合跟踪微分器能光滑逼近原始位置信号,且能有效进行速度估计,相较于经典跟踪微分器,复合跟踪微分器跟踪相位滞后小0.03 rad,能更好兼顾跟踪信号相位滞后及速度信号噪声放大.     

一种自适应步长的复合梯度加速优化算法

自适应步长加速(Adam)类算法由于其计算效率高、兼容性好的特点，成为近期相关领域的研究热点.针对Adam收敛速度慢的问题，本文基于当前梯度、预测梯度以及历史动量梯度，提出一种新型Adam类一阶优化算法——复合梯度下降法(C-Adam)，并对其收敛性进行了理论证明.与其他加速算法的区别之处在于，C-Adam将预测梯度与历史动量区别开，通过一次真实的梯度更新找到下一次迭代更精准的搜索方向.利用两组常用测试数据集及45钢静拉伸破坏实验的实验数据对所提算法进行验证，实验结果表明C-Adam与其他流行算法相比较具有更快的收敛速度及更小的训练损失.     

A neural network versus Black–Scholes: a comparison of pricing and hedging performances

An Erratum has been published for this article in Journal of Forecasting 22(6‐7) 2003, 551 The Black–Scholes formula is a well‐known model for pricing and hedging derivative securities. It relies, however, on several highly questionable assumptions. This paper examines whether a neural network (MLP) can be used to find a call option pricing formula better corresponding to market prices and the properties of the underlying asset than the Black–Scholes formula. The neural network method is applied to the out‐of‐sample pricing and delta‐hedging of daily Swedish stock index call options from 1997 to 1999. The relevance of a hedge‐analysis is stressed further in this paper. As benchmarks, the Black–Scholes model with historical and implied volatility estimates are used. Comparisons reveal that the neural network models outperform the benchmarks both in pricing and hedging performances. A moving block bootstrap is used to test the statistical significance of the results. Although the neural networks are superior, the results are sometimes insignificant at the 5% level. Copyright © 2003 John Wiley & Sons, Ltd.     

民营企业实施股份期权激励的探析

阐述了股票期权及股份期权的含义与区别，说明了股份期权激励在民营企业实施的意义和前景，结合我国民营企业所处的环境及企业发展状况，提出了我国民营企业实施股份期权制度的若干策略。     

R ＆ D STRATEGIC INVESTMENT IN AN ASYMMETRICAL CASE

This article analyzes R ＆ D investment decisions in an asymmetrical case. The investment decisions share three important characteristics. First, the investment is completely irreversible. Second, there are two kinds of uncertainties over the future returns from the investment and over technology in R ＆ D process, respectively. Third, there is strategic competition in the asymmetrical case. This article presents the optimal investment threshold values and the optimal investment rule of high-efficient firm （leader）, and shows that the investment threshold values are reduced by competition of two firms. Finally, the mixed investment strategies for two firms, the probability that each firm separately exercises the option to invest, and the probability that two firms simultaneously exercise the option are given in the paper.     

期权理论在高新企业价值评估中的应用

分析了高新技术企业特点，说明了传统的企业价值评估方法不能应用于对高新技术企业的评估。如果把高新技术企业投资看成是为了获得一个未来取得现金流的机会，高新技术企业具有期权性质，就可以用期权理论及Black-Scholes模型评估高新企业的价值。     

组合期权交易策略的概率分析

在假定股票价格服从Ito过程条件下，讨论了采用组合期权交易策略的投资者获益的概率及损益的数学期望，得到了具体计算式，只要投资者获得相应数据，通过具体计算式加以计算，便可以为期权投资者提供数量上的重要参考依据，对期权投资者具有实用价值。     

复合氧化物晶体晶格能的近似计算

本文以 Born-Harb 循环为依据,推导了复合晶体晶格能和与其相应的各二元化合物晶体晶格能之间的关系,并由此给出了复合氧化物晶体晶格能近似计算的新公式。对20种复合氧化物晶体晶格能计算结果的分析表明:用本文所给公式对复合氧化物晶体晶格能进行近似计算是可行的。     

两因素HJM模型下债券、期货、期权的定价

在HJM模型下考虑远期利率由2个独立布朗运动驱动的零息票债券的期限结构,给出零息票债券和债券期货的定价公式,以及债券期货期权的定价公式。     

加配重复摆振动周期的变化规律

通过理论推导、研究和分析，得出了加配重复摆振动周期的变化规律．