用人工神经网络预测场发射开启电场  

NEURAL NETWORKS MODELS ON THRESHOLD ELECTRIC FIELD OF FIELD EMISSION 

作　　者：于丽娟[1] 朱长纯[1] 

机构地区：[1]西安交通大学电信工程学院电子系,西安710049

出　　处：《物理学报》2000年第1期170-172,共3页Acta Physica Sinica

基　　金：国家自然科学基金;博士点基金

摘　　要：This article uses the model of BP neural networks,proposes the forecasting model of neural networks in combination with the characteristics of field emission cold cathode,and applies the data of threshold electric field of diamond thin film to test.The results show that the relative error of the model is within 6\^6% and the model possesses good forecast characteristics through simulation and imitation.This article uses the model of BP neural networks,proposes the forecasting model of neural networks in combination with the characteristics of field emission cold cathode,and applies the data of threshold electric field of diamond thin film to test.The results show that the relative error of the model is within 6\^6% and the model possesses good forecast characteristics through simulation and imitation.

关 键 词：人工神经网络 薄膜物发射 开启电场 

分 类 号：O462[理学—电子物理学] O484.42[理学—物理]