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水果果形判别人工神经网络专家系统的研究
引用本文:刘禾,汪懋华.水果果形判别人工神经网络专家系统的研究[J].农业工程学报,1996,12(1):171-176.
作者姓名:刘禾  汪懋华
作者单位:华北电力大学;中国农业大学
摘    要:该文使用图像识别系统对果形进行自动判别。并设计了一种用于果形判别的人工神经网络专家系统。试验表明:果形自动判别专家系统方法是可行的,它较好地解决了传统专家系统所面临的知识获取和表达困难、推理能力弱、系统扩充困难、容错性差等问题。

关 键 词:人工神经网络  专家系统  图像识别  果形判别
收稿时间:1995/3/30 0:00:00

Study on Neural Network Expert System for Fruit Shape Judgement
Liu He and Wang Maohua.Study on Neural Network Expert System for Fruit Shape Judgement[J].Transactions of the Chinese Society of Agricultural Engineering,1996,12(1):171-176.
Authors:Liu He and Wang Maohua
Institution:Liu He (North China Electric Power University) Wang Maohua (China Agricultural University)
Abstract:The fruit shape is an important feature to grade the fruit. This paper describes an image recognition system to automatically judge the fruit shape. A kind of artificial neural network expert system to judge fruit shape is proposed. Tests prove that the method to judge the fruit shape is feasible and the proposed approach can resolve the problems existed in the tranditional expert system, such as difficult to acquire and represent the knowledge, weak in reasoning , hard to expand the system , and sensitive to errors.
Keywords:Artificial neural network Expert system Image recognition Fruit shape judgement
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