神经网络专家系统的图形化操作环境

T. Quah, C. L. Tan, H. H. Teh
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引用次数: 6

摘要

提出了一种基于窗口的平台,称为神经网络专家系统图形环境(GENES)。该平台为用户提供了一个易于学习,易于使用的操作环境,用于创建,培训,编辑和增强基于神经网络的专家系统。基础神经逻辑网络(NELONET)已被证明能够进行逻辑推理,并在两个大规模操作专家系统中得到了应用。在x窗口系统和OPENLOOK用户界面的基础上,GENES继承了神经网络对象的选择和执行操作策略。系统的知识库包含简单的网络元素,这些元素与传统系统中的规则相对应。在推理过程中,这些网络元素被动态连接起来,形成一个大的神经网络,该网络将按照NELONET激活规则运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A graphical operating environment for neural network expert systems
A window-based platform, known as the Graphical Environment for Neuronet Expert Systems (GENES), is proposed. The platform provides the user with an easy-to-learn, easy-to-use operating environment for creating, training, editing, and enhancing neural-network-based expert systems. The underlying neural logic network (NELONET) has been shown to be capable of doing logical inferencing and is used in two large-scale-operation expert systems. Building on top of the X-window system and the OPENLOOK user interface, GENES inherits the select-and-perform operation strategy for neural network objects. The system's knowledge base contains simple network elements that correspond to rules in a conventional system. During the inference process, these network elements are linked up dynamically to form a large neural network which will operate according to the NELONET activation rules.<>
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