作为神经网络控制的基本单元，采用不同学习规则的神经元控制器，对神经元的学习过程将产生不同的影响。
As the basic unit of Neural Network, Neural Controllers with different learning rules will result in different control effects for the learning process of synaptic weights.
本文阐述了网络课程的页面设计对学习过程的影响以及设计过程中的一些技巧。
This article expatiates on the effect of the webpage design of network courses on learning process and provides some skills of design.
因此，如何认识网络对在校大学生的学习与能力培养所产生的影响已成为一个值得关注的热点问题。
Therefore, how to understand the influence of the Internet on students' study and ability has become an issue deserving intense attention.
信息与网络技术的迅猛发展，在全球范围内改变了人们的工作、学习和生活方式，更对社会经济活动产生了深远的影响。
The rapid development of information and Internet technology has changed people's working, studying and living styles, and it has a notable impact on the economic activities.
考察了隐层节点数对网络收敛速度、识别正确率的影响以及学习率对收敛速度的影响，改进了网络训练算法。
The influence to convergent speed and recognition accuracy of both concealed layer node count and the learning rate is considered.
应用数理统计方法消除了网络学习初始权重对评价结果的影响。
The influence of primary network weight on final assessment result could be eliminated by symbolic statistics.
就如工业经济给我们带来巨大变化一样，网络经济已经对我们的工作、生活产生了不可低估的影响，并将改变人类的工作、生活、学习和思维方式，即改变人类的生存方式。
Just as the way the industrial revolution changed the world, the Internet economy has profound influence on our life, changing the way we work, live, study, and think.
影响网络学习质量的学习者心理因素主要有学习者的元认知能力、定位感、自我效能感以及学习动机、焦虑感和对学习的坚持性。
The learner's mental factors affecting web-based learning quality mainly include their metacognitive ability, location, self-efficacy, learning motivation, anxiety, and persistency.
网络对当代社会产生着重大的影响，改变着我们的工作方式、学习方式和生活方式。
Networks of contemporary society have a significant impact on changing the way we work, study methods and way of life.
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.
本文以环境动态性为调节变量，构建了网络关系强度对组织学习影响的概念模型。
Taking the environmental dynamics as adjustment variable, the paper establishes the concept modal of the effects of the network tie strength on organizational learning.
通过计算机实验，讨论样本、学习算法和网络结构等对神经网络预测模型性能的影响及其改进措施。
Through computer simulation, samples, BP algorithms and the influence of network structure neurula on model performance have been discussed as well as the improving measures.
通过对331名大学生网络心理问卷调查，反映出部分大学生存在迷恋网络、人际情感淡化、影响正常学习和生活等问题。
The investigation of 331 students network psychology shows that some students addict to network, indifferent to emotional communication, which exert influence on their study and life.
目前，以信息技术为核心的计算机网络正以不可阻挡之势席卷全球，对人们的工作、生活、学习、交往等多方面都产生了深刻的影响。
Nowadays, the computer networks, based on information technology, have swept across the whole world and exerted profound influence on people's work, learning and communication etc.
对于存在实际层神经元的CMAC模型，讨论了压缩映射对网络学习收敛性的影响。
Also, the influence on learning convergence from compression mapping in those CMAC models with actual neurons is discussed.
本文通过对比实验，研究网络学习环境中教学信息媒体呈现方式对学习效果的影响。
Through contrast experiment, the researchers studied the effect of different mode of information presenting on learning-effect in thee-learning environment.
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.
讨论了模型的学习样本、网络参数对预测精度的影响，选出最佳网络参数配置。
The affection of learning samples and network parameters on prediction accuracy was discussed, the best network parameters were selected.
详细地讨论了增益、学习速率、动量等网络参数对神经网络收敛速度和导数脉冲伏安法计算结果的影响。
The effects of neural network parameters including gain, learning rate, and momentum on network convergence and DPV computation results have been investigated.
详细地讨论了增益、学习速率、动量等网络参数对神经网络收敛速度和导数脉冲伏安法计算结果的影响。
The effects of neural network parameters including gain, learning rate, and momentum on network convergence and DPV computation results have been investigated.
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