Prediction of Water Table Based on General Regression Neural Network

作     者：GUAN Shuai QIAN Cheng GUAN Shuai;QIAN Cheng

作者机构：China Civil Engineering Construction CorporationBeijing 100038China 

出 版 物：《科技视界》 (Science & Technology Vision)

年 卷 期：2017年第35期

页      面：56-57页

学科分类：081802[工学-地球探测与信息技术] 08[工学] 0818[工学-地质资源与地质工程] 

主　　题：General regression neural network Water table prediction Index model Linear regression 

摘      要：Traditional methods for water table prediction have such defects as extensive calculation and reliance on the presupposition of a homogeneous and regular *** on the fundamentals of the general regression neural network(GRNN),this article sets up a GRNN model for water level *** study indicates that this model,even with limited information,has satisfactory prediction accuracy,which,coupled with a simple model structure and relatively high calculation efficiency,mean a vast application prospect for the model.