The determination of combustion engine condition and reliability using oil analysis by MLP and RBF neural networks

Gajewski Jakub; Valis David

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The determination of combustion engine condition and reliability using oil analysis by MLP and RBF neural networks

机译：用MLP和RBF神经网络使用油分析的燃烧发动机条件和可靠性的测定

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来源
《Tribology International》 |2017年第2017期|共16页
作者
Gajewski Jakub; Valis David;
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作者单位

Lublin Univ Technol Fac Mech Engn Dept Machine Design &

Mechatron Nadbystrzycka 36 Str PL-20618 Lublin Poland;

Univ Def Kounicova 65 Brno 66210 Czech Republic;

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原文格式 PDF
正文语种 eng
中图分类机械摩擦、磨损与润滑;
关键词
Oil; Neural networks; Reliability; Diagnostics;

机译：石油;神经网络;可靠性;诊断;

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1. The determination of combustion engine condition and reliability using oil analysis by MLP and RBF neural networks [J] . Gajewski Jakub, Valis David Tribology International . 2017,第期

机译：用MLP和RBF神经网络使用油分析的燃烧发动机条件和可靠性的测定
2. Forecasting volatility in oil prices with a class of nonlinear volatility models: smooth transition RBF and MLP neural networks augmented GARCH approach [J] . Melike Bildirici, (O)zgür Ersin 石油科学（英文版） . 2015,第003期

机译：使用一类非线性波动率模型预测油价的波动性：平稳过渡RBF和MLP神经网络增强的GARCH方法
3. Forecasting volatility in oil prices with a class of nonlinear volatility models: smooth transition RBF and MLP neural networks augmented GARCH approach [J] . Melike Bildirici, ?zgür Ersin Petroleum science . 2015,第3期

机译：使用一类非线性波动率模型预测油价的波动性：平稳过渡RBF和MLP神经网络增强的GARCH方法
4. Application of the Chaos-RBF Neural Network on Oil Film Parameters Identification to Gasoline Engines under Transient Conditions [C] . Yuelin Li, Jingfeng Ding, Wei Yang, International Conference on Intelligent Systems Design and Engineering Applications . 2013

机译：混沌RBF神经网络在瞬态条件下汽油机油膜参数识别中的应用
5. The determination of terminal reliability with dependency information in computer communication networks using artificial neural networks. [D] . Hachem, Nabil Assaad. 1995

机译：在使用人工神经网络的计算机通信网络中使用相关性信息确定终端可靠性。
6. Determination of Important Topographic Factors for Landslide Mapping Analysis Using MLP Network [O] . Mutasem Sh. Alkhasawneh, Umi Kalthum Ngah, Lea Tien Tay, 2013

机译：利用MLP网络确定滑坡图分析的重要地形因素
7. Forecasting volatility in oil prices with a class of nonlinear volatility models: smooth transition RBF and MLP neural networks augmented GARCH approach [O] . Melike Bildirici, Özgür Ersin 2015

机译：使用一类非线性波动率模型预测油价的波动率：平稳过渡RBF和MLP神经网络增强GARCH方法

The determination of combustion engine condition and reliability using oil analysis by MLP and RBF neural networks

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