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薄膜场发射开启电场的小波神经网络预测模型研究
引用本文:崔万照,朱长纯,刘君华.薄膜场发射开启电场的小波神经网络预测模型研究[J].物理学报,2004,53(5):1583-1587.
作者姓名:崔万照  朱长纯  刘君华
作者单位:西安交通大学电信学院电子系,西安,710049
摘    要:关键词

关 键 词:场发射  开启电场  小波变换  神经网络
文章编号:1000-3290/2004/53(05)/1583-05

Wavelet neural networks model on threshold electric field of field emission from thin films
Cui Wan-Zhao,Zhu Chang-Chun,Liu Jun-Hua.Wavelet neural networks model on threshold electric field of field emission from thin films[J].Acta Physica Sinica,2004,53(5):1583-1587.
Authors:Cui Wan-Zhao  Zhu Chang-Chun  Liu Jun-Hua
Abstract:In this paper, characteristics of field emission from thin films have been studied based on extracting features of wavelet transforms from experimental data and neural networks self-learning,and the forecasting model of wavelet neural networks in combination with the characteristics of cold cathode materials has been established. The data of diamond thin film on threshold electric field in field emission is used to test this model, and the results show that the absolute value of the relative error of the model is within 1.30%. This result implies that the wavelet neural network is a useful tool for studying characteristics of field emission from thin films.
Keywords:field emission  threshold electric field  wavelet transforms  neural networks
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