CAJ | 학술논문

针对海洋观测资料中实际存在的数据缺损、零散等小样本问题，引入信息扩散原理，并通过遗传算法对其扩散系数的选取进行规范和改进，建立了遗传优化的新信息扩散模型，该模型通过对非规则、非对称的贫乏样本数据进行模糊化处理，可实现对其中蕴含信息的概率扩散。为验证新优化算法的可行性和有效性，选取美国国家环境预报中心和国家大气研究中心1982年1月至2011年10月间海温场月平均再分析资料作为样本数据，运用本文模型进行了多组不同样本容量的海温资料时间序列插值试验，并与传统的正态信息扩散模型和最优信息扩散模型进行对比分析。结果表明，新扩散模型在一定比例缺测的情况下能够较好地插补填充原海温时间序列，可为海洋稀疏数据的客观分析及应用提供参考。
침대해양관측자료중실제존재적수거결손、령산등소양본문제，인입신식확산원리，병통과유전산법대기확산계수적선취진행규범화개진，건립료유전우화적신신식확산모형，해모형통과대비규칙、비대칭적빈핍양본수거진행모호화처리，가실현대기중온함신식적개솔확산。위험증신우화산법적가행성화유효성，선취미국국가배경예보중심화국가대기연구중심1982년1월지2011년10월간해온장월평균재분석자료작위양본수거，운용본문모형진행료다조불동양본용량적해온자료시간서렬삽치시험，병여전통적정태신식확산모형화최우신식확산모형진행대비분석。결과표명，신확산모형재일정비례결측적정황하능구교호지삽보전충원해온시간서렬，가위해양희소수거적객관분석급응용제공삼고。
To tackle sparse observed data in asymmetrical and abnormal distribution and the problem of small sample,a new interpolation technique based on the information diffusion and optimal window width theory was improved by genetic algorithm in this paper.With fuzzy mapping route,the scattered samples can be diffused and mapped into corresponding fuzzy sets in the form of probability.By interpolating monthly sea surface temperature time series from National Center for Environmental Prediction (NCEP)/National Center for Atmospheric Research (NCAR)reanalysis,the rationality and validity of the improved information diffusion model was validated using different size of samples.The conventional information diffusion models were also introduced for comparison.All results show the new idea and technique may be a-vailable for interpolating such incomplete time series in ocean science or imperfect information condition.