网络学习

随着INTERNET的蓬勃发展，网络学习成为未来学习的主要形式，伴随着网络课程的开设，许多新的问题摆在眼前，其中之一是，学习者和教师如何通过网络了解学员的学习状况？

With the development of Internet , e-learning becomes the main form of study in the future . A lot of new problems appear .

网络学习（E-Learning）也逐渐成为人们获取知识的重要方式。

E-Learning is becoming an important way to acquire knowledge .

并基于BP神经网络学习方法对单一气体浓度测量问题做了定量研究，且进行了温度的补偿。

The BP neural network based single gas concentration measurement and temperature compensation is studied quantitatively .

基于三层BP网络学习算法建造了评价专家用于决策分析的ANN学习模型，可以在实际应用中发挥很好的作用。

Based the three-layer BP study arithmetic , the AMM model of studying the knowledge of experts is established .

基于Web的教学平台建构了一个虚拟的网络学习社区环境，这个环境以其时空的超越性为学习者提供了更为自由的开放空间。

Web-based teaching platform presents a virtual Web-learning . Community situation which provides a more free and open room for learners because of its overstepping on time and space .

基于建构主义的CSCW个性化的网络学习模型

An Internet Personalized CSCW Learning-Model Based on Construction Theory

随着网络学习（e-Learning）的普及，开放式分布网络环境下有效的学习资源管理成为研究热点。

With the popularity of the e-Learning , Learning Content Management System ( LCMS ) becomes a promising research area .

较长时间来，确定性连续时间方法（DCT）一直是分析PCA神经网络学习算法的重要工具。

In the past years , the deterministic continuous time ( DCT ) method is an important tool for analyzing the convergence of PCA learning algorithms .

提出了基于Kalman滤波最优估计和模糊控制的径向基函数（RadicalBasisFunction，RBF）神经网络学习算法，用实例进行了仿真实验。

A novel training algorithm for RBF ( Radical Basis Function ) networks was proposed based on extended Kalman filter and fuzzy control . The simulation results were presented on RBF networks as applied to the Iris classification problem .

介绍了XML技术及其特点，阐述了XML在网络学习（E-learning）方面的作用及在个性化E-learning中的具体应用。

This paper introduces the technique of XML and its characteristics , expounds the functions of XML in the network studying ( E - learning ) and the concrete application in the individualized E - learning .

其后，对OGSA架构提供的资源共享机制进行了分析，并进而对基于OGSA架构的网络学习资源共享方案进行了高层与技术上的分析；

After analysing the resources ' sharing ability afforded by OGSA , the author present a high level technical analyses on online learning architecture and flow related to resources sharing .

本文所指的CMS是基于Web构建的能支持和管理教学过程、提供共享学习资源和各种学习工具的网络学习环境，为网络教学的实施提供交流与学习管理服务。

CMS in this article refers to Web-based learning environment that is built to support and manage the process of teaching , to share a variety of learning resources and learning tools . , and providing exchanges and learning management services for the implementation of the network teaching .

为构建合适的神经元网络学习模型，采用闭环低频（1Hz）成对电极的电刺激模拟认知任务，在多通道微电极阵列系统中对培养的海马神经元网络进行训练，使其发生网络层次上的学习行为。

To construct one appropriate learning model at networking level , on multi-electrode array , the closed-loop low frequency ( 1 Hz ) pair stimulation was used to train the cultured hippocampal neuronal network and induce the learning behavior at networking level .

用于神经网络学习推理的可视化工具的实现

A visual tool of learning and reasoning for the neural networks

加快神经网络学习的梯度幂次法

An Accelerated Learning Algorithm for Neural Networks by Gradient Power Method

网络学习中的信息迷航成因及对策

The Reasons and Strategies to Lost in Internet in Web-based Learning

网络学习使我们结交新朋友。

Online learning helps us reach out to new friends .

利用聚类技术设计径向基函数网络学习算法

Radial Basis Function Networks Learning Algorithm Based on Cluster Technology

非对称联想记忆神经网络学习算法研究

The Study on Learning Algorithm of Non-symmetrical Neural Network for Associative Memory

网络学习平台模式创新研究

Innovative Research on the Model of the Network Study Platform

网络学习平台的类型与功能分析

The Analysis for Types and Functions of Network Learning Platform

网络学习评价的内容与实施原则

The Design and Implementation of the Evaluation of Web-Based Learning

最大-乘积模糊联想记忆的神经网络学习算法

A Novel Neural Network Learning Algorithm for Max product Fuzzy Associative Memories

非线性函数的自适应分区多神经网络学习及仿真实验

Adaptive Partitioning Learning of Nonlinear Function Using Neural Network and Simulation Experiment

建立企业员工的网络学习培训系统

On the Foundation of Internet Training System to Employee

网络学习环境设计的十个要素

Ten Dimensions for the Design of Web-based Learning Environments

利用神经网络学习的岩体分级

Rock Mass Classification by Use of Neural Network Learning

网络学习中的信息迷航问题初探

Primary Study of Drift - off - Course of Information in Net-work Study

论网络学习系统的自组织机制

On the self-organizing mechanism of the online learning system

基于拟牛顿法的前向神经元网络学习算法

Learning Algorithm for Neural Networks Based on Quasi-Newton Method