Amanote Research

Amanote Research

    RegisterSign In

Characteristic Identification of Oil Dampers for Railway Vehicles Using Neural Networks

doi 10.2495/cr080701
Full Text
Open PDF
Abstract

Available in full text

Date

August 25, 2008

Authors
R. KoganeiK. SasakiN. Watanabe
Publisher

WIT Press


Related search

Vibration Suppression for High Speed Railway Bridges Using Fluid Viscous Dampers

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2019English

Automatic Language Identification Using Deep Neural Networks

2014English

Intracerebral EEG Artifact Identification Using Convolutional Neural Networks

Neuroinformatics
NeuroscienceInformation SystemsSoftware
2018English

Modelling Fuel Consumption of Advanced Technology Vehicles in Traffic Networks Using Artificial Neural Networks

English

Parametric Identification of Control Systems Using Artificial Neural Networks

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2015English

Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks

International Journal of Aerospace Engineering
Aerospace Engineering
2017English

Text‐independent Talker Identification Using Recurrent Neural Networks

Journal of the Acoustical Society of America
AcousticsUltrasonicsArtsHumanities
1990English

Identification and Control of an Asynchronous Machine Using Neural Networks

English

Retrofit of Existing Railway Bridges of Short to Medium Spans for High-Speed Traffic Using Viscoelastic Dampers

Engineering Structures
CivilStructural Engineering
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy