生物多样性保护与人类的关系

介绍了生物多样性的三个层次,即生态系统多样性、物种多样性和遗传多样性,及其主要含义、主要研究内容.并简要讨论了生物多样性保护研究的重要性,以引起人们对日益恶化的环境给予重视,共同保护我们的生存环境,保护生物多样性.     

基于混合遗传算法的模糊车间调度问题

该文介绍了模糊流水车间调度问题，在此基础之上设计了一个解决该问题的混合遗传算法——嵌入多点最速下降法的遗传算法（GDA），将其与各种算法进行了仿真比较，论证了其有效性。     

适用于数据分类的极限学习机优化算法

针对极限学习机参数优化问题,提出量子遗传算法优化极限学习机的方法（QGA-ELM）。在该方法中,对ELM的输入权值和隐含层阈值采用量子比特编码,并将其映射为QGA的染色体,QGA的适应度函数为对应ELM的分类精度;通过QGA的量子旋转门优化出输入权值与隐含层阈值,以此训练出分类精度更高的ELM,从而改善ELM的泛化性能。通过ELM和QGA-ELM对数据集的仿真结果对比表明,QGA-ELM有效地提升了ELM网络的分类精度。     

谈话语体中“你比如说”的话语功能探析

谈话语体中语用标记＂你比如说＂具有语篇组织功能和交际互动功能。其语篇组织功能主要由＂比如说＂来实现,首先体现为用作举例标记,后来发展为两个方向：第一,举例标记兼话题标记;第二,假设标记。其交际互动功能主要由＂你＂来承担。＂你比如说＂是谈话中发话者采取两种积极的言语策略而形成的话语功能的组合,是谈话语体中一个凝固化的习语。     

基于遗传算法的高校试题组卷系统的研究

阐述了高校组卷系统的原理,重点研究了作为系统关键的组卷策略运算过程,提出了一个改进的动态分层遗传算法作为高校组卷系统的组卷策略,最后通过实验检验其性能。     

A Cross-Age Study of the Understanding of Three Genetic Concepts: How Do They Image the Gene, DNA and Chromosome?

The study was carried out with 175 Turkish students by using drawings at different ages understanding of gene, DNA and chromosome concepts. Students from 8th, 9th, 11th grades and, science and biology student teachers were simply asked to draw the structure of gene, DNA and chromosome in a cell and also to give explanations about these three concepts. Differences in understanding between the age groups were found to be significant for the concepts of gene and DNA. None of the groups exhibit sound understanding and regardless of the age levels, students in all groups had alternative ideas about the three concepts investigated.     

现阶段我国企业市场创新探析

20世纪末，我国已形成的买方市场对企业产生巨大的压力．主要表现在，企业生产能力利用率较低、产品价格一降再降、企业分化速度加快。对此．我们应进行理性的分析：我国的买方市场是一种低水平、有效供给不足与无效供给过剩，居民消费结构多元化、多层次化的买方市场。为寻找市场契机，在买方市场条件下，企业应从产业结构和产品结构方面，开拓农村市场、网络营销、开发绿色产品市场等方面进行市场创新。     

Assessing and Controlling Acquiescent Responding When Acquiescence and Content Are Related: A Comprehensive Factor-Analytic Approach

This article proposes procedures for assessing and controlling acquiescence in personality scales when acquiescence is related to the content that the scale intends to measure. Our proposal is comprehensive in that it can be applied to different item response formats fitted with response models that can be parameterized as factor-analytic models. In the calibration stage, our proposal makes joint use of a balanced scale and a set of markers for acquiescence, and consists of 2 sequential procedures: a direct semirestricted solution, and a restricted solution with minimal identification constraints. In the scoring stage, we discuss how the information given by the acquiescence–content relation can be used to obtain Bayes expected a posteriori scores. The robustness of the direct procedure is assessed both analytically and by simulation. A free, user-friendly program that implements the procedures proposed is made available. Practical issues of use and interpretation are discussed and illustrated with an empirical application.     

免疫算法与遗传算法的比较

免疫算法与遗传算法二者有不同点，通过仿真实验表明它们之间在功能和应用方面有区别．     

遗传算法在股票投资技术分析中的应用

本文首先分析了股票投资技术分析的特点,然后阐述了遗传算法及基于遗传算法的分类器系统的基本理论.最后,详细讨论了遗传算法及分类器系统在两种最常用的股票投资技术分析方法(指标分析和图形分析)的计算机化中的运用问题.