GENIE: a general neurofuzzy inference environment

Z.W. Zhang, P. Anderson, B. Bignall
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Abstract

As the application domain of neuro-fuzzy inferencing systems becomes broader, users will find increasing difficulty in selecting the right models for their specific application. This paper describes the design and implementation of a general neuro-fuzzy inference environment (GENIE). Its purpose is to facilitate the assessment of new learning strategies and control models. GENIE includes a number of well known neuro-fuzzy inference (NFI) systems. Besides its control, GENIE gives users a graphical display of membership functions and the system being controlled, thereby allowing users to visually monitor the changes occurring inside the controller and the system being controlled. Two new performance metrics for neuro-fuzzy controllers are described that have been incorporated into GENIE.
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GENIE:一个通用的神经模糊推理环境
随着神经模糊推理系统的应用领域越来越广泛,用户将发现为其特定应用选择正确模型的难度越来越大。本文描述了一个通用神经模糊推理环境(GENIE)的设计与实现。其目的是促进新的学习策略和控制模型的评估。GENIE包括许多众所周知的神经模糊推理(NFI)系统。除了控制之外,GENIE还为用户提供了成员功能和被控制系统的图形显示,从而使用户可以直观地监控控制器内部和被控制系统发生的变化。两个新的性能指标的神经模糊控制器描述,已纳入GENIE。
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