应用遗传算法建立地震预报的分类体系初探

A SIMPLE CLASSIFICATION SYSTEM OF EARTHQUAKE PREDICTION BASED ON THE GENETIC ALGORITHM

本文对模拟自然界生物进化过程的遗传算法和用它所建立的分类体系进行了简要介绍,并将它们应用于地震预报探索研究,建立了初步的地震预报分类体系。结果表明:采用具有自动学习和自相适应的方法,结合现有的研究成果,可以将地震活动性的时空参数结合起来综合考虑,获得较为优化的地震预报规则集。

In this paper a brief introduction to the genetic algorithm (GA) based on the mechanism of natural selection and natural genetics is made. A simple earthquake prediction classification system based on GA is established. A rule set for earthquake pre-diction is obtained from 8 temporal-spatial parameters. The results indicate that it is an effective way for the earthquake prediction exploration by using the hybridization technique.