A model to forecast airport-level General Aviation demand

General Aviation (GA) demand forecast plays an important role in aviation management, planning and policy making. The objective of this paper is to develop an airport-level GA demand forecast model. The GA demand at an airport is modeled as a function of social-economic and demographic factors, the availability of supply factors, the competition from the commercial aviation, the number of based aircraft, and the presence of a flight school. Our models suggest that the relative fuel price – fuel price compared with personal income – is a significant determinant of airport level GA demand. The elasticity of itinerant and local GA demand with respect to the relative fuel price is −0.43 and −0.52, respectively. Our results are compared with those reported in other studies. Furthermore, we made projections of GA demand for the airports in the Terminal Area Forecast (TAF) using three fuel price scenarios from the Energy Information Administration. Our projections under the “business-as-usual” fuel price scenario are close to those in the TAF. Our models could prove useful, for example, for the Federal Aviation Administration and airport planners to prepare airport-level GA demand forecast.     

A STOCHASTIC SETTING TO BANK FINANCIAL PERFORMANCE FOR REFINING EFFICIENCY ESTIMATES

This study contributes to develop a framework to measure the financial performance of banks in a stochastic setting. The framework comprises several steps, the first of which is the development of a financial performance measurement model to evaluate a bank's financial performance using a set of factors from the CAMEL (Capital adequacy, Assets, Management Capability, Earning and Liquidity) system. Second, the stochastic setting of the efficiency measurement is handled using the data collection budget allocation approach, whereby Monte Carlo simulations are used to analyse additional generated data and a genetic algorithm is used to refine the accuracy of the efficiency estimates. The results show that the accuracy of the model is greatly improved using the proposed approach. In contrast to the conventional deterministic model, the proposed framework is more useful to managers in determining the bank's future financial operations to improve the overall financial soundness of the bank. Copyright © 2014 John Wiley & Sons, Ltd.     

FFT处理器在OFDM中的应用

本文设计了一个OFDM系统,选择按频率抽取基2的快速傅里叶算法对用于OFDM传输数据调制和解调的快速傅里叶处理器进行设计,用VHDL语言进行硬件描述,通过Quartus II软件平台进行编译、综合、仿真,仿真显示系统正常工作.     

一种动态交通导航的寻优模型研究与仿真

针对目前的车辆路径算法不能满足动态导航的要求,提出了一种用于动态交通导航的优中手优模型。该模型定义了出行时间、路径风险性和路径适宜度等三大指标,并以三大指标的目标函数作为适应度因子,通过遗传算法寻找最优路径。仿真实验表明,诙模型能够根据不同的指标提供多种最优出行方案,并动态计算最优路径,满足车辆动态导航的要求。     

基于遗传算法改进的BP神经网络在我国主要城市人居环境质量评价中的应用

文章试图在已有研究的基础上,综合考虑城市人居环境的内涵,在国内首次将遗传算法全局寻优和BP神经网络局部寻优相结合的改进神经网络模型应用在人居环境评价中,并对中国35个主要城市人居环境质量进行定量判定,揭示城市人居环境现状及各城市在国内人居环境中的相对水平。结果表明该模型取得了令人满意的结果,是一种有效的评价方法。     

Predicting industrial ad readership

This study examined the effect of visual and psycholinguistic elements (such as picture size and the number of adjectives in the headline) on industrial advertisement readership. Multiple regression techniques were used to analyze the data, which were obtained from AD-CHART. AD-CHART is a research firm which specializes in the measurement of industrial ad readership. The analyses showed that visual and psycholinguistic elements are better predictors of industrial advertising readership than more complicated models.     

Research on the safety evaluation and optimization of enterprise information

By advancing enterprises information, enterprises can seek the most opportunities to contact with the outside, however, it brings some kinds of problem of enterprises information security, such as latent leakage of information resources due to employee＇s resignation, information resources lost due to abrupt malfunction of hardware equipment, information resources plagiarized by rival because of the low reliability of software, hidden trouble of information safety produced by incomplete system of information safety, etc.. According to the situation, in view of such four factors as hardware, software, stuff, and system, Information Safety-appraising ＆ Optimizing Model of Enterprises Based on Informatization Environments （ISOMEBIE） is presented in this article. The model is solved by the means of Genetic Algorithms （GA）, so its result has much more objectivity. This model can be used to direct enterprises to appraise its information safety, or to compare information safety with its rival. When the safety valve value of enterprises is below the normal level through application in this model, they should immediately take measure to find out and eliminate it, which enterprises can securely and reliably make full use of the results produced by informatization.     

基于多风险体企业风险管理组合的优化决策

针对企业多类风险暴露体管理策略选择,提出基于投资理论的CR模型,并采用遗传算法分析风险管理成本和收益。通过一个典型算例说明企业风险组合管理策略选择的标准和过程,结果表明该方法具有简单有效、快速准确等特点。     

马克维茨投资组合模型的遗传算法

在介绍马克维茨均值—方差投资组合模型的理论依据、含义及表述的基础之上,提出了求解该投资组合模型的遗传算法。并采用实证分析的方法,与梯度算法进行了比较,从而显示了该遗传算法在求解此类有约束条件的非线性规划问题时的优势。     

商业银行的个人信用评估研究院基于PCA-GA-BP算法

随着个人消费贷款的普及,贷款人的个人信用评估变得尤为重要。本文选取德国和澳大利亚某商业银行的个人信贷数据为样本数据,采用主成分分析提取样本数据的主成分,通过遗传算法优化神经网络的网络结构、初始连接权值和阀值,然后将优化的神经网络算法用于个人信用评估。与其他算法的准确率比较的结果表明,基于主成分分析-遗传算法-神经网络算法的个人信用评估准确率要高,而且模型的网络结构得到优化,运算时间也有缩短。