人工神经网络在柑橘生产专家系统中的应用  

Application of Artificial Neural Network in Production Expert System of Orange

作　　者：徐胜祥[1] 贺立源[1] 黄魏[1] 陈杰[1] 

机构地区：[1]华中农业大学资源环境学院,湖北武汉430070

出　　处：《计算机应用研究》2006年第2期138-141,145,共5页Application Research of Computers

基　　金：科技部"湖北三峡移民科技信息网络体系研究"专项基金资助项目(2003EP090026);国家星火计划"农村信息化科技示范体系建设"基金资助项目(2002EA760003)

摘　　要：研究结合三峡库区柑橘产业化需求,采用人工神经网络技术与专家系统相集成的方法,设计并研制了一个知识面较为完整的网络化柑橘生产专家系统。该系统能同时满足柑橘生产者和管理者的信息需求,可应用于柑橘生产技术普及和直接指导柑橘生产管理。设计采用了神经网络原理,合理组织知识、模拟人脑思维过程,其推理机制比产生式推理优越。以柑橘营养诊断作为实例,详细介绍了基于人工神经网络的专家系统的总体结构和实现方法。With the orange industrialization demand of the reservoir region of Three Gorges, a comparatively intact range of knowledge of network production expert system of orange is designed and developed by the method of expert system combined with the technology of artificial neural network. It can meet the information demand of growers as well as administrator, popularize the production technology and instruct directly the production management of orange. The principle of neural network is adopted, knowledge is organized rationally and human＇ s thinking mode is simulated, so its reasoning mechanism has a big advantage over the producing type of reasoning. Regarding the nutrition diagnosis as an instance, the whole framework and method of realization are presented in detail in the expert system based on artificial neural network.

关 键 词：人工神经网络 专家系统 柑橘生产 营养诊断 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]