多元教学模式在分析化学教学中的应用探索

构建了以培养学生主动学习为中心,以能力提升为核心的分析化学多元教学模式,并探索了适应多元教学模式的学业评价机制的建立。     

LAHS: A novel harmony search algorithm based on learning automata

This study presents a learning automata-based harmony search (LAHS) for unconstrained optimization of continuous problems. The harmony search (HS) algorithm performance strongly depends on the fine tuning of its parameters, including the harmony consideration rate (HMCR), pitch adjustment rate (PAR) and bandwidth (bw). Inspired by the spur-in-time responses in the musical improvisation process, learning capabilities are employed in the HS to select these parameters based on spontaneous reactions. An extensive numerical investigation is conducted on several well-known test functions, and the results are compared with the HS algorithm and its prominent variants, including the improved harmony search (IHS), global-best harmony search (GHS) and self-adaptive global-best harmony search (SGHS). The numerical results indicate that the LAHS is more efficient in finding optimum solutions and outperforms the existing HS algorithm variants.     

改进布谷鸟算法优化极限学习机的网络入侵检测

为了保证网络的安全,针对极限学习机在网络入侵检测过程中参数优化的难题,提出一种改进布谷鸟搜索算法优化极限学习机的网络入侵检测模型。首先将极限学习机参数编码为布谷鸟巢位置,并以网络入侵检测正确率作为ELM参数优化目标,然后通过模拟布谷鸟繁育行为找到极限学习机的最优参数,建立网络入侵检测分类器,最后在Matlab 2012平台上采用KDD99数据集进行仿真实验。结果表明,MCS-ELM提高了网络入侵检测正确率,可以满足网络入侵检测在线检测要求。     

Adjusting learning motivation to promote cooperation

An evolutionary prisoner’s dilemma game with players adjusting their learning motivation is studied. At each time step, each player can adjust his/her learning motivation according to the difference between the current payoff and payoff aspiration. Greater payoff aspiration means stronger learning motivation, and vice versa. We find that the density of cooperation in a spatial prisoner’s dilemma game is enhanced when the learning motivation mechanism is considered. Meanwhile, we show that proper noise can not only induce the highest cooperation level but also can maintain the cooperation phenomenon even though there is more temptation to defect.     

学习理论中基于负相关序列的样本误差估计

给定数据(x1,y1),(x2,y2),…,(xm,ym),考虑一般的损失函数ψ(y-f(x))下,当ψ(z)连续及ξ1=ψ(y1-f(x1)),ξ2=ψ(y2-f(x2)),…,ξm=ψ(ym-f(xm))是一个负相关序列时,本文研究了样本误差估计问题.     

Learning Electricity with NIELS: Thinking with Electrons and Thinking in Levels

Electricity is regarded as one of the most challenging topics for students of all ages. Several researchers have suggested that na?ve misconceptions about electricity stem from a deep incommensurability (Slotta and Chi 2006; Chi 2005) or incompatibility (Chi et al. 1994) between na?ve and expert knowledge structures. In this paper we argue that adopting an emergent levels-based perspective as proposed by Wilensky and Resnick (1999), allows us to reconceive commonly noted misconceptions in electricity as behavioral evidences of “slippage between levels,” i.e., these misconceptions appear when otherwise productive knowledge elements are sometimes activated inappropriately due to certain macro-level phenomenological cues only. We then introduce NIELS (NetLogo Investigations In Electromagnetism), a curriculum of emergent multi-agent-based computational models. NIELS models represent phenomena such as electric current and resistance as emergent from simple, body-syntonic interactions between electrons and other charges in a circuit. We discuss results from a pilot implementation of NIELS in an undergraduate physics course, that highlight the ability of an emergent levels-based approach to provide students with a deep, expert-like understanding of the relevant phenomena by bootstrapping, rather than discarding their existing repertoire of intuitive knowledge.

Comments on “A note on minimizing maximum lateness in an m-machine scheduling problem with a learning effect”

The purpose of this paper is to point out that if there are some machines that do not process any job then the mathematical programming model provided by Eren [T. Eren, A note on minimizing maximum lateness in an m-machine scheduling problem with a learning effect, Applied Mathematics and Computation 209 (2009) 186-190] may not be a valid one. A simple way to fix this problem is given. Furthermore, based on the idea of Eren’s model, a general mathematical programming model is proposed.     

Ein "Learning Network" als innovative Form der firmeninternen Weiterbildung

Im Bereich PSE der Siemens AG ?sterreich wurde dazu übergegangen, die interne Aus- und Weiterbildung zu Fach- und Methodikthemen nicht mehr in Form eines klassischen firmeninternen Training Centers zu organisieren, sondern in Form eines lose gekoppelten "Learning Network". Dies hat gerade bei internationaler Aufstellung gro?e Vorteile hinsichtlich Kosten, Aktualit?t von Inhalten, Berücksichtigung von "local content" und auch p?dagogischer Effizienz. Im vorliegenden Artikel werden die Herausforderungen an innerbetriebliches Lernen in einer gro?en EDV-Firma skizziert, das Vorgehen detailliert dargestellt (anhand von zwei konkreten Beispielen), die kritischen Erfolgsfaktoren herausgearbeitet und ein Resümee gezogen, auch hinsichtlich der Anwendbarkeit dieses Konzepts im weiteren Kontext.      

应用ASP和ADO实现计算机远程在线考试系统

随着多媒体网络教学的初具规模，作为辅助教学的网络考试系统的需求将与日俱增。本着大众化普及教育的原则，利用ASP（Active Server Pages）和ADO（ActiveX Database Object）技术，采用B／S模式，研究开发了一套计算机远程在线考试系统。该系统使用方便、操作简单，具有很强的学科通用性。通过测试和运行表明：这种无纸化的网络考试系统不仅可以大大减轻教师的工作量，而且因不受时空的限制更显其灵活性和科学性。     

基于HMM的分布式拒绝服务攻击检测方法

文章根据分布式拒绝服务攻击（DDoS）的本质特点，提出了一种基于隐马尔可夫模型（HMM）的DDoS攻击检测方法。该方法通过IP地址信息库．保存当前常用服务的源IP地址，然后对新到数据包的IP地址用HMM建模。通过离线训练，更新IP地址信息库，优化HMM参数。在线检测时，IP地址信息库在线学习更新，HMM实时检测．并根据检测结果通过边界路由器进行积极响应。实验结果显示，该方法具有很好的检测效果，并能及时响应，保持常用服务的延续性。