Application of rprop algorithm to well logging lithologic identification 算法在測(cè)井巖性識(shí)別中的應(yīng)用
Lithologic identification of xing anling group in sudeerte oilfield 蘇德?tīng)柼赜吞锱d安嶺群巖性識(shí)別方法
The experiment shows that self - organized characteristic map neural network is feasible for lithologic identification of logging data and has a high rate of identification 實(shí)驗(yàn)結(jié)果表明:自組織特征映射神經(jīng)網(wǎng)絡(luò)對(duì)測(cè)井?dāng)?shù)據(jù)進(jìn)行巖性識(shí)別是可行的,而且識(shí)別率較高,是一種行之有效的巖性識(shí)別的好方法。