基于自适应模糊神经系统的网络学习评价模型研究

李绍中

基于自适应模糊神经系统的网络学习评价模型研究

引用本文：李绍中.基于自适应模糊神经系统的网络学习评价模型研究[J].计算技术与自动化,2012,(2):129-132

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作者	单位
李绍中	(广州番禺职业技术学院教务处，广东广州511483)

中文摘要:学习评价是网络学习中十分重要的环节，为克服原有网络学习评价方法的不足，构建一种基于自适应模糊神经系统的评价模型，并进行实验仿真。测试结果表明，基于自适应模糊神经系统的网络学习评价模型提高了网络学习评价的准确率，为网络学习提供一种新评价方法。

中文关键词:神经网络自适应模糊神经系统网络学习评价

The Research of Assessment Model for Network Learning Based on Adaptive Network-based Fuzzy Inference System

Abstract:Assessment is the important link in Web-based learning. In order to overcome the insufficiencies of existing evaluation method used in Web-based learning, we reconstruction an evaluation model based on the Adaptive Network-based Fuzzy Inference System (ANFIS) and make some simulation experiment accordingly. The simulation results show that this new evaluation model can improve the assessment accuracy, providing a new assessment method for Web-based learning.

keywords:artificial neural networks adaptive network-based fuzzy inference system network iearning evaluation

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