More recently, as he reported in a 2012 review, Lieberman has discovered that this region may be part of a distinct network involved in socially motivated learning and memory.
最近，正如他在2012年的一篇评论中所报告的，利伯曼已发现，这块区域可能是涉及社交动机型学习和记忆的独特网络的一部分。
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。
Network is a very good learning tool, we can use it to gather information, broaden our horizon.
网络是一个很好的学习工具，我们可以利用它搜集资料，拓宽视野。
Once upon a time, a cable television network called TLC stood for The Learning Channel.
很久以前有一个名叫TLC的网络电视台，相当于学习频道那种电视台。
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。
High quality resource classes and network learning space for everyone are the application tasks.
“优质资源班班通”和“网络学习空间人人通”都是应用任务。
Tutpup – Tutpup is an award-winning social learning network that allows young learners to come together online to play fun, educational games.
Tutpup - Tutpup是曾得奖的社交学习网站。 在该网站上，年轻人聚到一起在线玩有趣的教育游戏。
We collect the network learning material with view to the young learners actual language receptivity and psychological character.
栏目的收编内容均为针对少儿的实际语言接受能力和心理特点的，适合网络学习的精选内容。
The results show that the model has a great efficiency of network learning and a high accuracy of prediction and judgement.
实际应用表明：该模型大大提高了网络的学习效率和预测评判的精度，可以作为油气集输管道腐蚀速率预测的良好工具。
This method can avoid the problems of depending on a large number of data with high quality in existing Bayesian network learning.
该方法可避免现有的贝叶斯网络学习过于依赖数据、对数据的数量和质量要求过高等问题。
The important characteristic of network learning is the learners' independence.
网络学习的重要特征是学习者的自主性。
The application shows that the algorithms simplify the computing complexity of process neural networks, and raise the efficiency of the network learning and the adaptability to real problem resolving.
应用表明，算法简化了过程神经网络的计算复杂度，提高了网络学习效率和对实际问题求解的适应性。
Among it, supplying the personalized support is the effective approach for improving network learning quality.
而其中提供个性化的支持是提高网络自主学习质量的有效途径。
In this paper, we proposed a parallel BP neural network learning algorithm with the support of PC cluster under the circumstance of PVM (parallel Virtual Machine).
本文提出了一种利用微机机群来实现并行处理，在并行编程环境P VM中实现BP神经网络的并行学习算法。
The main factors of network learning have been analyzed in detail, and the factor extraction method using MA is put forward according to network study pattern recognition.
详细分析了网络学习模式中的主要因素，针对网络学习模式识别提出了使用移动代理（MA）进行因素提取的方法。
Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is proposed.
提出了一种基于免疫识别原理的径向基函数神经网络学习算法。
The system comprises teaching, network learning, graduation project and electronic design competition, which form a feedback teaching system.
结合课堂教学、网络学习的特点，分别提出采用任务驱动法和及时教学法；
Building relative capital, improving relative scope and utilizing hard restriction, such as bargain, institution, will help network learning.
有效的网络学习应建立合理资本，提高合理范围，还必须借助于合同、制度等硬约束方式。
LM learning algorithm is adopted in BP network learning.
BP网络的学习采用了LM学习算法。
Aiming at the learning goals of network learning, and based on advanced network channels, this article discusses several typical network tools to serve language teaching and learning.
基于前沿的网络途径以及网络学习环境所要达到的目标，本文讨论了几种常用的网络学习工具，以期对网络教学有所帮助。
After analyzing the superiority and deficiency of network learning environment of the day, this paper presents an "Intelligent Interactive Network learning Environment".
本文在分析了当前网络学习环境存在的优势和不足之处后，提出了“智能交互式网络学习环境”的设计与开发问题。
Information technology has formed network learning environment, digital learning resources and digital learning model after it was utilized in education.
信息技术应用到教育教学过程后，形成了网络化的学习环境、数字化的学习资源、数字化的学习方式。
A personality mining method is proposed to obtain the personality characteristics of learners automatically in the network learning.
提出了一种面向个性化网络学习的学习者个性挖掘方法，以实现网络学习中学习者个性特征的自动获取。
BP algorithm is the most popular training algorithm for feed forward neural network learning. But falling into local minimum and slow convergence are its drawbacks.
BP算法是前馈神经网络训练中应用最多的算法，但其具有收敛慢和陷入局部极值的严重缺点。
BP algorithm is the most popular training algorithm for feed forward neural network learning. But falling into local minimum and slow convergence are its drawbacks.
BP算法是前馈神经网络训练中应用最多的算法，但其具有收敛慢和陷入局部极值的严重缺点。
应用推荐