摘要
为了解决曲线相似性的模式识别问题,提出了一种基于遗传学习算法的模式识别方法,即层次逐级分解法。应用该方法解决了石油地质录井中地层参数问题。结果表明,该方法确定含地层参数不仅是可行的,而且提高了参数的计算精度。
To solve the problem of pattern recognition's curves similitude, the paper affords a method of pattern recognition based on genetic algorithms, namely the method of arrangement decompose. And it solves the problem of stratum's parameters in the geological log of the petroleum. The results show,the algorithms not noly can confirm the stratum's parameters but also improve the accurate of parameters.
出处
《计算机应用与软件》
CSCD
北大核心
2007年第6期101-102,105,共3页
Computer Applications and Software
关键词
地层参数
曲线相似性
模式识别
遗传算法
Stratum's parameters Similarity of curves Pattern recognition Genetic algorithms