Application of Adam-BP neural network in leveling fitting. Issue 2 (August 2019)

• Record Type: Journal Article
• Authors: Dong, Zhouyang; Xu, Weiming; Xu, Jian; Zhuang, Hao
• Is Part Of: IOP conference series. Volume 310:Issue 2(2019)
• Publication Date: 2019-08
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/310/2/022036
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: According to the accuracy of BP (Back Propagation) neural network in leveling fitting, an improved BP neural network model is proposed. In order to overcome the defect of the low convergence rate and local minimal in leveling fitting. The BP neural network is improved by using Relu (Rectified Linear Units) function as network activation function and Adam (Adaptive Moment Estimation) algorithm as network optimization function. The experimental results show that the improved BP neural network can effectively improve the accuracy.