地区综合实力的ANN分析

人工神经网络通过神经元之间的相互作用来完成整个网络的信息处理，具有自学习和自适应等一系列优点，因而用它来评价地区综合实力是可行的。针对地区综合实力评价问题，建立了基于神经网络的评价系统，给出了应用实例。     

Corporate foresight: Its three roles in enhancing the innovation capacity of a firm

In the last three decades much knowledge has been produced on how best to conduct foresight exercises, but little is known on how foresight should be integrated with the innovation effort of a company. Drawing on empirical evidence from 19 case studies and 107 interviews, we identify three roles that corporate foresight should play to maximize the innovation capacity of a firm: (1) the strategist role, which explores new business fields; (2) the initiator role, which increases the number of innovation concepts and ideas; and (3) the opponent role, which challenges innovation projects to increase the quality of their output.     

Monitoring trends of technological changes based on the dynamic patent lattice: A modified formal concept analysis approach

The strategic importance of monitoring technological changes is highlighted given the ever faster pace and increasing complexity of technological innovation. In this respect, patent citation analysis has been the most frequently adopted tool among others. However, patent citation analysis is subject to certain drawbacks that stem from only consideration of citing-cited information and time lags between citing and cited patents. This study proposes a formal concept analysis (FCA)-based approach to developing a dynamic patent lattice that can analyze complex relations among patents and monitor trends of technological changes. The FCA is a mathematical tool for grouping objects with shared properties based on the lattice theory. The distinct strengths of FCA, vis-á-vis other methods, lie in structuring and displaying the relations among objects from a massive amount of data. For the purpose of technology monitoring, the FCA is modified to take into account time periods and changes of patent keywords. A patent context is first constructed with the aid of domain experts and text mining technique. Two types of dynamic patent lattices are then developed by executing the modified FCA algorithm. A case study of laser technology in lithography for semiconductor manufacturing shows that the suggested dynamic patent lattice has considerable advantages over conventional patent citation maps in terms of visualization and informative power.     

Technology commercialization intelligence: Organizational antecedents and performance consequences

External technology commercialization, e.g., by means of technology licensing, has recently gained in importance. Despite imperfections in technology markets, out-licensing constitutes a major technology commercialization channel. Although the identification of licensing opportunities represents a significant managerial challenge, prior research has relatively neglected these activities. Therefore, we develop the concept of ‘technology commercialization intelligence’ (TCI), which refers to the observation of a firm's environment with particular focus on identifying technology licensing opportunities. Grounded in a dynamic capabilities perspective, we test five hypotheses regarding organizational antecedents and performance consequences of TCI, drawing on data from a survey of 152 companies. The empirical findings provide strong support for the importance of the TCI concept. The findings deepen our understanding of the discrepancies between successful pioneering firms active in technology licensing and many others being less successful. The results have major implications for technology exploitation in open innovation processes.     

试谈离散数学在计算机学科中的重要性

阐述了离散数学及计算机专业其他学科的基本概念，分析了离散数学与计算机专业其他学科间的关系。教师在教学过程中，将此关系在课堂中灌输给学生，让学生了解离散数学在计算机专业学科中所处的重要地位。学生在学习离散数学的同时，能明确该学科的学习目的，也能站在较高的层次把握好离散数学的学习。     

辅导教师的心智素质与青年教师的岗前培训

青年教师的教书职业第一年如期达到熟悉大学教学环节，掌握大学教学规律，适应大学教学活动的目的，不仅取决于对青年教师培训，还取决于专业辅导教师有心智地对青年教师进行辅导的过程。专业辅导教师要为青年教师创造一个有利于他们提高教学水平和能力的、安全的、宽松的教学环境，要推动青年教师充分发挥主观能动性，积极主动地完善自己的综合素质。所以，专业辅导教师不仅要具备较强的专业教学能力而且要有心智素质：“人际关系能力”和“自省能力”。这样他才能够做到既能读懂自己又能读懂青年教师，圆满完成对青年教师的辅导工作。     

人工免疫神经网络在上市公司财务危机预警中的应用

根据我国证券市场和上市公司发展的现状,采用K-L信息量等方法选取财务比率指标和样本,使用人工免疫神经网络,以140家上市公司的财务指标作为建模样本,建立了财务危机预警模型,并使用同期不同的60家公司作为检验样本,对模型进行了检验.实证分析的结果表明,模型取得了91.7%判正率,高于使用BP神经网络对同一样本数据的预测精度87.6%.     

无线传感器网络在智能家居中的应用

随着传感技术、嵌入式技术的发展,无线传感网络（Wireless sensor Network简称WSN）在环境监控、工业控制、智能城市和智能家庭等领域得到了广泛的应用。本文把无线传感器网络引入到智能家居系统中,给出了一套基于传感器网络的智能家居系统解决方案。     

创造力的影响因素及对教育的反思

该文对创造力的影响因素进行了较为全面的整合式的综述，认为创造力的影响因素不应被孤立、片面地看待，任何个体的创造力都是由智力加工、知识、智力风格、人格、动机和环境这六大因素的不同方面联合作用的结果。在此基础上，对学校教育于创造力的消极方面进行了反思。     

中国可持续发展水平区域差异的人工神经网络判定

本文在对目前区域可持续发展水平度量方法进行分析的基础上,提出以人工神经网络(ANN)作为区分中国可持续发展水平区域差异的模型工具。构建了ANN模型分析中较为先进的自组织特征映射网络(Self-Organizing Maps,SOFM),并以中国31个省市(自治区)1996年的社会、经济、资源和环境状况作为待分样本,用SOFM进行了可持续发展区域差异的判定。网络运行结果表明,1996年中国可持续发展水平的区域差异可分成5类,SOFM分类结果与专家的判断基本近似。可见,人工神经网络是一条具有发展和应用前景的途径。