| 电控自动变速器档位决策神经网络方法 |
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| 引用本文： | 秦贵和,葛安林.电控自动变速器档位决策神经网络方法[J].兵工学报,1997,18(1):80-83. |
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| 作者姓名： | 秦贵和 葛安林 |
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| 作者单位： | 吉林工业大学 |
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| 摘 要： | 电控机械式自动变速器的最佳换档规律是车辆状态与最佳档位间的一个非线性关系，往往以数据表的形式给出。用这些数据去训练一个神经网络，就可使表中反映的换档规律存到网络中；在线应用时，就可用其计算最佳档位。本介绍了一个基于这种思想的最佳档位判别方案，并以两参数换档规律为例进行了网络训练的过程。
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| 关 键 词： | 智能控制 神经网络 自动变速器 变速器 |
A NEURAL NETWORK APPROACH TO OPTIMAL GEAR POSITION DECISION FOR AN ELECTRONICALLY CONTROLLED MECHANICAL AUTOMATIC TRANSMISSION |
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| Qing Guihe, Ge Anlin, Wei Da, Dai Yisong.A NEURAL NETWORK APPROACH TO OPTIMAL GEAR POSITION DECISION FOR AN ELECTRONICALLY CONTROLLED MECHANICAL AUTOMATIC TRANSMISSION[J].Acta Armamentarii,1997,18(1):80-83. |
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| Authors: | Qing Guihe Ge Anlin Wei Da Dai Yisong |
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| Abstract: | Optimal shifting in an electronically controlled automatic transmission turns out to be a nonlinear function between the vehicle state and gear position, and is usually described through a data table. It is proper to train a neural network based on the data, and to store the rules of shifting in the network. When used online the network can calculate the optimal gear position. An approach based on this concept is introduced and a neural network training course is illustrated. |
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| Keywords: | automatic transmission intelligent control neural network |
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