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一种用于ADC模拟集成电路设计和分析的MOS晶体管模型 被引量:1
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作者 殷湛 郭立 杨吉庆 《计算机工程与科学》 CSCD 2006年第8期105-107,共3页
本文提出了一个适合模拟集成电路设计和分析的金属氧化物场效应晶体管模型。它以晶体管反型系数if为基础,表达式具有简洁的形式和良好的精度,并通过一个ADC电路中经常出现的简单共源极放大器的设计过程和仿真结果的对比分析,解释说明这... 本文提出了一个适合模拟集成电路设计和分析的金属氧化物场效应晶体管模型。它以晶体管反型系数if为基础,表达式具有简洁的形式和良好的精度,并通过一个ADC电路中经常出现的简单共源极放大器的设计过程和仿真结果的对比分析,解释说明这个模型的具体应用。 展开更多
关键词 金属氧化物场效应晶体管 跨导 反型系数 模数转换器
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Residue curve maps of ethyl acetate synthesis reaction 被引量:1
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作者 郑辉东 田晖 +5 位作者 邹文虎 黄智贤 王晓达 邱挺 赵素英 吴燕翔 《Journal of Central South University》 SCIE EI CAS 2013年第1期50-55,共6页
The residue curve maps are considered as a powerful tool for the preliminary design of reactive distillation. The residue curve maps of ethyl acetate synthesis reaction were calculated based on the pseudo-homogeneous ... The residue curve maps are considered as a powerful tool for the preliminary design of reactive distillation. The residue curve maps of ethyl acetate synthesis reaction were calculated based on the pseudo-homogeneous rate-based kinetic model and the NRTL activity coefficient model. The results show that the unstable node branch emerges from the ethyl acetate/water edge, moving toward the chemical equilibrium surface with the increase of Damkoeler value (D), and the node reaches the ternary reactive azeotrope when D-∞ eventually. Conceptual design for the ethyl acetate synthesis of reactive distillation based on the residue curve maps is presented at last. 展开更多
关键词 residue curve maps ethyl acetate ESTERIFICATION conceptual design
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Application of neural network to prediction of plate finish cooling temperature
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作者 王丙兴 张殿华 +3 位作者 王君 于明 周娜 曹光明 《Journal of Central South University of Technology》 EI 2008年第1期136-140,共5页
To improve the deficiency of the control system of finish cooling temperature (FCT), a new model developed from a combination of a multilayer perception neural network as the self-learning system and traditional mathe... To improve the deficiency of the control system of finish cooling temperature (FCT), a new model developed from a combination of a multilayer perception neural network as the self-learning system and traditional mathematical model were brought forward to predict the plate FCT. The relationship between the self-learning factor of heat transfer coefficient and its influencing parameters such as plate thickness, start cooling temperature, was investigated. Simulative calculation indicates that the deficiency of FCT control system is overcome completely, the accuracy of FCT is obviously improved and the difference between the calculated and target FCT is controlled between -15 ℃ and 15 ℃. 展开更多
关键词 PLATE heat transfer coefficient mathematical model back propagation (BP) neural network
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