用于设计神经网络的自适应学习环境

S. Belkada, A. Cristea, Toshio Okamoto
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引用次数: 0

摘要

本文介绍了一个学生使用我们的系统(DiscoverNet)制作的故事板。DiscoverNet为神经网络设计提供了一种基于自适应仿真的发现学习环境。我们选择“神经网络”(NN)作为应用领域,因为它们的研究特别适合自适应的学生水平调整方法。我们还在系统中嵌入了一个建议生成器模块,该模块在设计会话期间负责教育方向。系统支持两种类型的设计。使用对象操作的学生级设计,以及使用根据学生配置/参数规范生成神经网络模型的预定义架构的系统级设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DiscoverNet: adaptive learning environment for designing neural networks
This paper presents the storyboard of a student using our system (DiscoverNet). DiscoverNet provides an adaptive simulation based discovery learning environment to design neural networks. We chose 'neural networks' (NN) as application domain, due to the fact that their study is particularly suitable for an adaptive student level adjusted approach. We embedded in the system also an advice generator module that is responsible for the educational orientation during the design session. The system supports two types of design. student-level design with objects manipulations, and system-level design with predefined architectures that generates a NN model according to the student configuration/parameters specifications.
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