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.
出处
《系统工程学报》
CSCD
1999年第4期356-360,共5页
Journal of Systems Engineering
关键词
模糊理论
水稻生产方案
农业
fuzzy theory
self-organizing feature map
rice production project
classification
