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Finite Convergence of On-line BP Neural Networks with Linearly Separable Training Patterns 被引量:1
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作者 邵郅邛 吴微 杨洁 《Journal of Mathematical Research and Exposition》 CSCD 北大核心 2006年第3期451-456,共6页
In this paper we prove a finite convergence of online BP algorithms for nonlinear feedforward neural networks when the training patterns are linearly separable.
关键词 nonlinear feedforward neural networks online BP algorithms finite convergence linearly separable training patterns.
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One-dimensional hybrid simulation of the electrical asymmetry effect caused by the fourth-order harmonic in dual-frequency capacitively coupled plasma
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作者 王帅 龙海凤 +3 位作者 毕振华 姜巍 徐翔 王友年 《Chinese Physics B》 SCIE EI CAS CSCD 2016年第11期387-392,共6页
A one-dimensional hybrid model was developed to study the electrical asymmetry effect(EAE) caused by the fourthorder harmonic in a dual-frequency capacitively coupled Ar plasma.The self-bias voltage caused by the fo... A one-dimensional hybrid model was developed to study the electrical asymmetry effect(EAE) caused by the fourthorder harmonic in a dual-frequency capacitively coupled Ar plasma.The self-bias voltage caused by the fourth-order frequency changes periodically with the phase angle,and the cycle of self-bias with the phase angle is π/2,which is half of that in the second-order case.The influence of the phase angle between the fundamental and its fourth-order frequency on the ion density profiles and the ion energy distributions(IEDs) were studied.Both the ion density profile and the IEDs can be controlled by the phase angle,which provides a convenient way to adjust the sheath characters without changing the main discharge parameters. 展开更多
关键词 harmonic asymmetry periodically sheath fourth adjust separate convenient cycle linearly
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