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基于遗传算法的模糊模式分类法在油样属性分析中的应用

石油实验地质

1999年 21卷第2期

阅读：126

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Title

APPLICATION OF FUZZY CLASSIFICATION METHOD BASED ON GENETIC ALGORITHM TO THE IDENTIFICATION OF CRUDE OIL NATURE

作者

陈锋胡上序俞蒙槐

Authors

CHEN Feng HU Shangxu YU Menhuai

单位

浙江大学智能信息研究所, 杭州 310027

Organization

Institute of Intelligent Information Engineering, Zhejiang University, Hangzhou 310027, China

摘要

本文采用模糊模式识别和遗传算法相结合,对塔里木盆地油样属性进行了比较。用遗传算法确定最优聚类中心和权向量,并确定每种油样的隶属度。

Abstract

In this paper,Fuzzy Pattern Classification Method based on Genetic Algorithm(GA)is proposed.It's used to the identification of crude oil nature in the Tarim Basin.The clustering center and weight vector are determined with GA and the degree of compatibility of every crude oil sample is determined too.The results of classification for 20 specimen indicated that the performance of this method is good,and it might be referred as an assissant technique to the identification of crude oil nature.

关键词：

遗传算法; 模糊模式分类法; 油样属性分析;

Keywords:

genetic algorithm; fuzzy pattern classification; identification of crude oil nature;

基金项目

DOI

https://doi.org/10.11781/sysydz199902170