Joseph calls sharing his knowledge network through peer-to-peer learning a core piece of the company's culture.
约瑟夫称通过点对点学习分享他的知识网络是公司文化的核心部分。
Network learning has increasingly become an important means for people to acquire knowledge and solve problems.
网络学习已日益成为人们获取知识和解决问题的重要手段。
To create a learning organization where knowledge is passed from experts to newcomers and where personal growth is encouraged, you need to create a social learning network.
为了建立一个能够让知识从专家向新手传递以及鼓励个人成长的学习型组织，你需要建立一个社交网络。
The network will occupy an increasingly important position in our future life, we should use the knowledge learning in school and life experience, to prevent and avoid being deceived.
网络在我们日后的生活肯定会占据越来越重要的位置，我们应该应用在学校学习的知识和生活中的经验，积极地预防和避免上当受骗。
The works shall focus on the subject of "Let's Connect by Heart ", advocating mutual teaching, mutual learning and mutual love in learning knowledge through computer and network connecting us!
作品以本届赛事主题“让我们用心连接”为主旨，内容围绕通过计算机及网络连接你我他，在学习知识的海洋中，互教、互学、互爱，用心连接，共同提高，健康成长！
Personal knowledge is comprised of a network, which feeds into organizations and institutions, which in turn feed back into the network and continue to provide learning for the individual.
个人知识是一个网络，它注入组织和机构中，组织与机构又回馈给网络，并持续地为个人提供学习机会。
Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set.
在已有的英语语义词典及大量训练集的基础上，应用机器学习、数据挖掘等技术进行知识获取并最终形成若干个概念推理网。
As the knowledge representation methods simulating human language, semantic network has significant impact and position in intelligence system development and machine learning fields.
语义网络作为一种模拟人类的语言的知识表示方法，在开发智能系统和机器学习领域中具有重要的地位和作用。
Learning of association rules is a new method to discover new knowledge and has been a significant aspect of the study on network security audit.
关联规则学习是一类新型的知识发现方法，已成为网络安全审计的重要研究方向。
In the design of network course, the design of teaching contents, especially the organization and arrangement of knowledge points affect the quality of learning by the network course.
在网络课程的设计中，教学内容的设计尤其是知识点的组织和编排是影响网络学习质量的关键。
The fuzzy neural network can express the fuzzy and quantitative knowledge easily and has good learning abilities.
它既可以容易地表示模糊和定性的知识，又具有较好的学习能力。
Simulation results show that the neural network has strong learning ability and does not require apriori knowledge of identified systems.
仿真结果表明，该网络及其辨识结构具有学习效率高、逼近速度快和不需要被辨识对象的先验知识等特点。
This paper believes IFN has the nature of knowledge and network-based learning is key mechanism to enhance the value of IFN.
本文认为，企业网络具有知识性质，网络学习是解决企业网络中知识资源“公地悲剧”现象和提升网络价值的关键。
The object of this research is to set up the neural network expert system of judging the abnormal state in acquiring knowledge , so to make it have the ability of self-learning on-line.
本课题旨在建立神经网络高炉异常炉况判断专家系统，并解决传统专家系统在知识获取方面的“瓶颈”问题，使其具有在线学习能力。
With the neural network based approach, human knowledge and machine learning are effectively combined together in the semantic inference.
通过这种方法，我们能够准确地提取多媒体传感器网络中的音频高层语义信息。
With the neural network based approach, human knowledge and machine learning are effectively combined together in the semantic inference.
通过这种方法，我们能够准确地提取多媒体传感器网络中的音频高层语义信息。
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