Asynchronous Learning

application of asynchronous self-learning control in intelligent controller of straight wire-drawing machine

异步自学习应用于直进式拉丝机智能控制系统的研究

frequency-domain stability analysis of asynchronous learning control system

异步自学习控制的频域稳定性分析

anand says that they initially tweaked the program to strike a balance between taking advantage of the asynchronous nature of online learning while preserving some synchronous activity so that students can help their classmates at certain points.

阿南德表示，他们最初对课程进行了调整，一方面利用在线学习的异步特性，同时保留一些同步活动，努力实现两者之间的平衡，使学生们可以相互帮助。

neural network based asynchronous learning control systems

神经网络异步自学习控制系统

an experiment study on asynchronous teaching and learning approach in the theory teaching of football playing skills and tactics

足球技战术理论教学中实施异步教学法的实验研究

this platform system runs on linux os, which provides a whole remote learning environment. it supports all kinds of teaching activities like asynchronous teaching and learning, question-answering, real-time communicating between teachers and students on-line and so on.

该平台系统运行于Linux操作系统之上，提供了一个完整的网上教学环境，可以完成异步授课、实时讨论，教师答疑等教学活动。

on the asynchronous optimal learning control method

一种最优异步自学习控制方法

how to make the web technology serve call and realize the learning strategy is discussed in the following, which leads to interact synchronous or asynchronous learning activity by means of learner-centered teaching style and digitized media-transmission information.

本文还详细论述了如何进行技术操作，实现以学习者为中心，通过媒体中介传递数字化信息，开展交互式的同步或异步的教学活动。

On h ￣∞ frequency-domain method of optimal asynchronous learning control system

利用H~∞范数的最优异步自学习控制频域方法

There are many positive researches on computer-supported collaborative learning ( CSCL) environments in asynchronous distributed learning groups ( DLGs).

现在有很多关于计算机支持下协作学习（CSCL）异步环境中分布式学习团体（DLGs）的实证研究。

based on environment and task information, the optimal action selection and asynchronous interaction reinforcement learning strategy among multiple robots are presented in the case of global and local communication without time-delay, respectively.

基于环境感测和任务信息状态，分别给出了全局通信和局部通信情况下的K近邻状态选择方案和多机器人系统的无时滞异步增强学习算法，多机器人之间合作关系的最优动作选择。