目的探讨在校大学生网络学习行为的状况及其与人格特征的关系。
Objective To explore college students e-learning behavior and its relationships with their personality characteristics.
网络学习行为分析是开展网络教学系统设计和网络教育资源开发的前提。
Analysis E-learning behavior is the prerequisite to launch the network instruction system design and develop the educational resources online.
然而，目前国内外对这一课题的研究还不尽人意，特别是国内还缺少对基于因特网的网络学习行为的全面、系统、细致的研究。
However, the domestic and international study on this subject is still less than satisfactory at present, especially still lack systematically, carefully research on E-learning behavior at home.
有意思的是，神经网络是一种对学习型评估的进化，算法经过训练后其行为就像是一个人类专家。
It is interesting to note that Neural Networks is an evolution of learning-oriented estimation, in which the method algorithm is trained to behave like a human expert.
遥程学习是学习者自行应用网络媒体，自动地应用和调控自己的元认知、念头和行为入行网络课程的学习。
Distance learning is that learners make use of Internet media to learn network courses by taking the initiative to use and controlling their own Metacognition, motivation and behavior.
将该算法应用于入侵检测系统的网络行为智能学习，其误报率仅为10%左右。
When applying the algorithm to network behavior intelligent learning of intrusion detection system, the error rate is about 10%.
近年来，网络的迅猛发展，对中职生的学习、生活和行为都产生了一些负面影响。
In recent years, the rapid development of network produces some adverse impacts on vocational students' learning, life and behavior.
远程学习是学习者自行利用网络媒体，主动地运用和调控自己的元认知、动机和行为进行网络课程的学习。
Distance learning is that learners make use of Internet media to learn network courses by taking the initiative to use and controlling their own Metacognition, motivation and behavior.
最后声明。本站只是为计算机爱好者提供一个学习网络技术的平台，从不参与黑客攻击等行为！
The final declaration. The site was for computer enthusiasts to provide a learning network technology platform, never participate in such activities as the hackers!
学习者行为追踪是对学习者与网络平台之间的互动过程进行数据采集、数据处理和数据分析的技术。
Learners activity tracing system is a technology that can collect, process and analyze data during the interaction between learners and the network platform.
为了克服传统机器人设计方法存在的局限性 ，提高机器人的自适应能力 ，采用神经网络方法实现了进化机器人避碰、趋近及其组合行为学习 。
Obstacle avoidance, target approach and their combination behavior learning of evolutionary robot are realized by the use of artificial neural network in this paper.
在单独的行为对象中包含了基于强化学习中的Q学习及人工神经网络的优化学习算法。
A single behavior object contains the algorithm for optimizing the demonstrated group of ACTS. The algorithm is using the Q-learning based on artificial nerve network.
本文着重分析了网络学习环境中学习者的学习行为、能力及网络学习环境对学习者的影响，最后在网络学习环境管理方面作了一些探讨。
The present paper analyzes the learners' learning behavior, capacity and the influence of the environment upon the learners as well as the proper management involved of such an environment.
针对网络入侵的不确定性导致异常检测系统误报率较高的不足，提出一种基于Q-学习算法的异常检测模型（QLADM）。 该模型把Q-学习、行为意图跟踪和入侵预测结合起来，可获得未知入侵行为的检测和响应。
To the problems higher rate of false retrieval in anomaly detection system due to the uncertainty of intrusion, this paper presents an Anomaly Detection Model Based on Q- Learning Algorithm (QLADM).
因此，对网络学习中学习行为监控的理论和实践研究具有广阔的空间。
Therefore, the study on theory and practical research on monitoring learning behavior in the online learning promises significant importance.
第四章：基于校园网络的自主学习的群体性学习行为特征分析的实践研究。
Chapter 4: Practical study of learners' group learning behaviors' characteristics based on campus-network's independent learning.
其主要是令机械臂利用实践及结果通过神经网络算法来控制并调整自身行为从而不断趋向于完成某一目标，进而达到“学习”的目的。
As with Go, the skills required to have a robot manipulate objects, or perform other tasks, can be complex to program by hand.
其主要是令机械臂利用实践及结果通过神经网络算法来控制并调整自身行为从而不断趋向于完成某一目标，进而达到“学习”的目的。
As with Go, the skills required to have a robot manipulate objects, or perform other tasks, can be complex to program by hand.
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