1) bully algorithm
欺负算法
1.
As a result of transmitting larges numbers of messages in bully algorithm of distributed algorithm, the performance of the communication is degraded.
分布式算法中的欺负算法在选举协调者的过程中由于传输了大量信包而导致性能降低。
3) bullying
[英]['buliiŋ] [美]['bʊlɪɪŋ]
欺负
1.
The studies on the result of bullying’s negative behavior go deeper and deeper.
工作场所中欺负问题的研究有助于促进组织健康发展,逐渐成为工作和健康心理学研究的热点。
2.
According to the investigation on young children s bullying behavior in some kindergartens; the researcher not only analyzes the harm caused by children s such behavior but also gives his suggestions on how to remedy it.
在调查幼儿欺负行为现状的基础上,本文分析了欺负行为可能给幼儿带来的危害,并提出了多种科学矫正的方法与途径。
3.
The study surveyed 3061 adolescents aged from 11 to 18 years old in order to explore the possible factors by which could predict the victimization in school bullying.
通过问卷法和同伴提名法考察了 30 6 1名初中生在校受同伴欺负状况的特点 ,结果发现初中男生受欺负状况比初中女生严重 ,并且整个初中阶段男生的状况没有减缓的趋势 ,初中女生的受欺负状况随年级增长明显减少。
4) bully
[英]['bʊli] [美]['bulɪ]
欺负
1.
A Study on the Classroom Bullying in Key High School and Its Intervention;
重点高中学校欺负现象和策略的研究
2.
An anonymous investigation was conducted about school bullying, in which 481 pupils answered a self-designed questionnaire.
用自编欺负行为问卷,采用匿名报告方式调查了481名小学生。
5) school bullying
欺负
1.
In the recent 20 years,many psychologists from different countries have worked hard on the problem of school bullying,but some mistakes and incongruence during the measure of bullying behaviors have inhibited researchers from understanding the real situation of bullying.
近20年来,各国心理学家就欺负问题做了大量的研究工作。
2.
In order to explore the association of perceived school climate with school bullying, 918 junior middle school children from 13 middle schools in JiNan were surveyed.
欺负是中小学生中常见的一种现象,对个体的发展具有消极影响。
补充资料：BP算法
分子式：
CAS号：
性质：又称逆推学习算法，简称BP算法，是1986年鲁梅哈特(D. E. Rumelhart)和麦克莱朗德(J. L. McClelland)提出来的。用样本数据训练人工神经网络(一种模仿人脑的信息处理系统)，它自动地将实际输出值和期望值进行比较，得到误差信号，再根据误差信号从后(输出层)向前(输入层)逐层反传，调节各神经层神经元之间的连接权重，直至误差减至满足要求为止。反向传播算法的主要特征是中间层能对输出层反传过来的误差进行学习。这种算法不能保证训练期间实现全局误差最小，但可以实现局部误差最小。BP算法在图像处理、语音处理、优化等领域得到应用。
CAS号：
性质：又称逆推学习算法，简称BP算法，是1986年鲁梅哈特(D. E. Rumelhart)和麦克莱朗德(J. L. McClelland)提出来的。用样本数据训练人工神经网络(一种模仿人脑的信息处理系统)，它自动地将实际输出值和期望值进行比较，得到误差信号，再根据误差信号从后(输出层)向前(输入层)逐层反传，调节各神经层神经元之间的连接权重，直至误差减至满足要求为止。反向传播算法的主要特征是中间层能对输出层反传过来的误差进行学习。这种算法不能保证训练期间实现全局误差最小，但可以实现局部误差最小。BP算法在图像处理、语音处理、优化等领域得到应用。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条