人工神经网络在皮尔斯电子枪设计中的应用

Application of Artificial Neural Network in Design of Pierce Electron Gun

基于人工神经网络(ANN)的皮尔斯电子枪初值设计方法,不但能有机地结合迭代综合法与非迭代综合法的优点,还能把前人体现在实验数据中的设计经验通过训练样本融入到其中,从而设计出很接近实验值的新电子枪。在有较多电子枪实验数据的情况下,ANN法的优点尤为显著,经20多支电子枪的检测结果表明:ANN法的设计值比综合法的计算值更接近实验结果。

Artificial neural network（ANN） has been successfully used in the design of Pierce electron gun. The newly-developed design technique not only combines the strengths of both the iterative and non-iterative synthesis methods but also makes use of the existing data and past exiperience in previous designs of Pierce electron gun. The numerically simulated results agree well with the test results of over 20 Pierce electron guns, showing that ANN technique works better than the synthesis methods.