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（1 同濟(jì)大學(xué)地下系 上海 200092；2 青島理工大學(xué) 266033）
【提要】 巖土結(jié)構(gòu)的位移都具有非線性動(dòng)力學(xué)演化特征，針對(duì)目前采用的神經(jīng)網(wǎng)絡(luò)預(yù)測(cè)方法中存在的問(wèn)題，用神經(jīng)網(wǎng)絡(luò)遺傳算法耦合預(yù)測(cè)模型取代了傳統(tǒng)的分析方法。詳細(xì)介紹了建模過(guò)程，并用C語(yǔ)言加以實(shí)現(xiàn)，最后用實(shí)例論證了該方法用于基坑工程變形預(yù)測(cè)的可靠性和實(shí)用性。
【關(guān)鍵詞】 深基坑工程 神經(jīng)網(wǎng)絡(luò) 遺傳算法 變形預(yù)測(cè)
Application of Genetic Algorithm Neural Network in Deep Foundation Pit Deformation Prediction/Tao Jin1, He Keqiang2(1 Tongji University, Shanghai 200092，China; 2  Qingdao Technological University, Qingdao 266033,China)
Abstract:The method for predicting the deformation of deep foundation pit on the basis of genetic algorithm neural networks is presented. The modeling of this method is described in detail. An application software using Matlab language is developed. Finally, a practical example is given and it is proved that the predicting model is reliable and practicable.
Keywords:deep foundation pit; neural networks; genetic algorithm; deformation prediction