基于专家系统和神经网络集成的植物智能分类系统  

Plant Intelligence Classifying System Based on Integration of Expert System and Neural Network

作　　者：胡伟[1] 李霞[1] 钟乐海[1] 

机构地区：[1]西华师范大学计算机学院,四川南充637002

出　　处：《宜宾学院学报》2005年第12期69-72,共4页Journal of Yibin University

摘　　要：专家系统和神经网络是计算机人工智能应用的两大分支。目前,这两大分支的发展均表现出各自存在的问题,如专家系统知识获取的“饼颈”问题和神经网络知识表示的“黑箱结构”问题。在植物智能分类系统中单独使用神经网络或传统专家系统技术都有其局限性,二者必须相互取长补短,将神经网络与专家系统相结合是开发植物智能分类系统的一条比较切实有效的途径。本文将专家系统和神经网络进行集成,达到优势互补的目的,并且采用了改进的神经网络分类算法,有效的克服了传统的植物智能分类系统的不足,从而更加全面的、科学的、合理的对植物进行分类。The expert system and the neural network are two primary branches in artificial intelligence.At present,the two primary branches have their own disadvantage.For example,the expert system gains the information with the 'congestion',and the neural network denotes the information with the 'black box'.As a single system of classifying,both the neural network and the traditional expert system have many limitations.Developing classifying system integrating the neutral network with the expert system is an available way to offset their weakness.The article uses integration of the expert system and the neural network to effectively overcome their weakness and the traditional plant intelligence classifying system's shortage.Consequently it classifies plant more completely,more scientifically and more reasonably.

关 键 词：智能评估 专家系统 神经网络 知识获取 人工神经元 

分 类 号：Q94-332[生物学—植物学]