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Computational Study of the Non-Parametric Squeeze Film Damper Bearing Inverse Model Based on Artificial Neural Networks Applied to a Rotor-Casing System Running on Unsupported SFDs

机译：基于人工神经网络的非参数挤压膜阻尼器逆模型的计算研究应用于不支持的SFDS的转子套管系统

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Sergio G. Torres Cedillo; Ghaith Ghanim Al-Ghazal; Philip Bonello; Jacinto Cortés Pérez; Alberto Reyes Solís;
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1. Empirical identification of the inverse model of a squeeze-film damper bearing using neural networks and its application to a nonlinear inverse problem [J] . Cedillo Sergio G. Torres, Bonello Philip Journal of vibration and control: JVC . 2018,第2期

机译：用神经网络挤压膜阻尼器轴承逆模型的经验鉴定及其在非线性逆问题中的应用
2. Empirical identification of squeeze-film damper bearings using neural networks [J] . K.H. Groves, P. Bonello Mechanical systems and signal processing . 2013,第1a2期

机译：压缩膜阻尼器轴承的神经网络经验识别
3. Grey and black-box modelling based on neural networks and artificial immune systems applied to solid dissolution by rotating disc method [J] . Elena Niculina Dragoi, Cristian Andrei Horoba, Ioan Mamaliga Chemical Engineering and Processing . 2014,第Null期

机译：基于神经网络和人工免疫系统的灰色和黑匣子建模应用于转盘法固溶
4. COMPUTATIONAL STUDY OF THE NON-PARAMETRIC SQUEEZE FILM DAMPER BEARING INVERSE MODEL BASED ON ARTIFICIAL NEURAL NETWORKS APPLIED TO A ROTOR-CASING SYSTEM RUNNING ON UNSUPPORTED SFDS [C] . Sergio G.Torres Cedillo, Philip Bonello, Ghaith Ghanim Al-Ghazal, ASME Turbo Expo: Turbomachinery Technical Conference and Exposition . 2019

机译：基于人工神经网络的非参数挤压膜阻尼器轴承逆模型的计算研究
5. Inverse Problem Methodology for the Balancing of Rotating Machinery Running on Nonlinear Bearings Using Artificial Neural Networks [D] . Al-Ghazal, Ghaith Ghanim. 2019

机译：使用人工神经网络在非线性轴承上运行旋转机械平衡的逆问题方法
6. Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy a rapid diagnostic test nested PCR and a computational expert system based on artificial neural networks [O] . Bruno B Andrade, Antonio Reis-Filho, Austeclino M Barros, 2010

机译：在巴西亚马逊地区进行疟疾诊断的精确测试：现场显微镜快速诊断测试嵌套式PCR和基于人工神经网络的计算专家系统之间的比较
7. Improved Empirical Identification of the Inverse Model of a Squeeze-Film Damper Bearing Based on a Recurrent Neural Network [O] . Ghaith Ghanim Al-Ghazal, Philip Bonello, Sergio G. Torres Cedillo 2018

机译：基于经常性神经网络的挤压膜阻尼器轴承逆模型的经验识别

Computational Study of the Non-Parametric Squeeze Film Damper Bearing Inverse Model Based on Artificial Neural Networks Applied to a Rotor-Casing System Running on Unsupported SFDs

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