Study on the compatibility between two detergents of engine oil with neural network

Journal of Chongqing Jiaotong University(Natural Science) ›› 2003, Vol. 22 ›› Issue (1): 125-127.

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Study on the compatibility between two detergents of engine oil with neural network

MA Lin-cai

Department of Automobile Engineering , Zhejiang Vocational and technical Institute of Transportation, Hangzhou 311112, China

Received:2002-05-17 Revised:2002-09-10 Online:2003-03-15 Published:2015-05-18

基于神经网络的内燃机油清净剂复配性研究

马林才

浙江交通职业技术学院汽车工程系，浙江杭州 311112

作者简介:马林才(1976—), 男, 江西德兴人, 硕士生, 从事汽车内燃机润滑材料研究

Abstract

Abstract: The interaction among detergents is very complex , and is difficult to be described in a mathematic model.The Neural Network is applied to process the data from the experiment.Based on the magic extended ability of the Neural Network, the optimized rate of the two detergents is calculated.This rate tallies with the one concluded in the former article

Key words: detergent, interaction, neural network, compatibility

摘要： 清净剂间的交互作用是很复杂的,两种或多种清净剂间复配性难以用数学模型进行描述,应用神经网络处理非线性问题的强大功能,对清净剂复配性试验的结果进行了处理,并在神经网络的强大推广能力的基础上,计算出内燃机油清净剂复配的最佳比.该值与以前的结论极吻合.

关键词: 清净剂, 交互作用, 神经网络, 复配性

CLC Number:

U491.6

MA Lin-cai. Study on the compatibility between two detergents of engine oil with neural network[J]. Journal of Chongqing Jiaotong University(Natural Science), 2003, 22(1): 125-127.

马林才. 基于神经网络的内燃机油清净剂复配性研究[J]. 重庆交通大学学报（自然科学版）, 2003, 22(1): 125-127.

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Study on the compatibility between two detergents of engine oil with neural network

基于神经网络的内燃机油清净剂复配性研究

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