模糊SOFM网分类方法及其在农业中的应用  

Fuzzy-SOFMnet classification method and its application in agriculture

作　　者：李立辉[1] 杨海东 马瑞峻[2] 刘智华[2] 

机构地区：[1]广东省佛山科学技术学院经济管理分院,佛山528000 [2]华南农业大学工程技术学院,广州510642

出　　处：《系统工程学报》1999年第4期356-360,共5页Journal of Systems Engineering

摘　　要：将模糊理论和自组织特征映射（ｓｅｌｆ－ｏｒｇａｎｉｚｉｎｇ ｆｅａｔｕｒｅ ｍ ａｐ， ＳＯＦＭ）网络相结合，构造出一种新的分类模型——模糊ＳＯＦＭ 模型．模糊ＳＯＦＭ 模型既利用了模糊理论解决不确定性问题的特性，又利用自组织映射特征网络具有较强的自学习、自适应能力、容错能力和模式识别能力的优点．能非常好地解决模糊或不确定系统中的多对象在多指标下的分类问题．实例结果表明用模糊ＳＯＦＭ 分类方法进行分类具有稳定、结果可靠等特点．The fuzzy SOFM model is a new classification model which comes from the combination of fuzzy theory and self organizing feature map network. The Fuzzy SOFM model uses fuzzy theory to solve uncertain problem, it also makes good use of self organizing feature map network, which has a strong self learned ability, self adaptive ability, error permissive ability and the ability of model identification.It can make good advantage in solving classification problem of multiple objects under multi index condition of fuzzy or uncertain system.The result of practical application showed that using classification method of fuzzy SOFM for classification is stable and reliable.

关 键 词：模糊理论 水稻生产方案 农业 

分 类 号：S11[农业科学—农业基础科学] S511