Development of an engine calibration model using Gaussian process regression

T Pan, Y Cai, S Chen - International Journal of Automotive Technology, 2021 - Springer
To enhance the calibration efficiency, reduce the fuel consumption and improve the
emission performance of the engine, a calibration method using Gaussian Process …

Development of a driving behavior-based collision warning system using a neural network

SH Lee, S Lee, MH Kim - International journal of automotive technology, 2018 - Springer
An advanced driver assistance system (ADAS) uses radar, visual information, and laser
sensors to calculate variables representing driving conditions, such as time-to-collision …

Design optimization of multilayer perceptron neural network by ant colony optimization applied to engine emissions data

J Martínez-Morales, H Quej-Cosgaya… - Science china …, 2019 - Springer
A multilayer perceptron (MLP) artificial neural network (ANN) model has been optimized by
the multi-objective ant colony optimization (MOACO) algorithm, which uses three objective …

A modified online sequential extreme learning machine for building circulation fluidized bed boiler's NOx emission model

Y Ma, P Niu, S Yan, G Li - Applied Mathematics and Computation, 2018 - Elsevier
In the last decade, the online sequential extreme learning machine (OS-ELM) has become
an effective online modeling tool for the regression problem and time series prediction …

Multi-objective reliability design optimization of a novel side door negative Poisson's ratio impact beam

G Zhou, W Zhao, ZD Ma, C Wang… - Proceedings of the …, 2018 - journals.sagepub.com
By possessing a good capacity for energy absorption and a lightweight structure, the
negative Poisson's ratio (NPR) structure has very fine prospects for application in vehicle …

Effect of underhood architecture on aerodynamic drag—suggestion of new concepts for fuel consumption reduction

J Faraj, E Harika, M Ramadan, S Ali… - International Journal of …, 2020 - Springer
The present work concerns an experimental study of the aerodynamic drag on a simplified
vehicle body in relation to the underhood architecture, especially the engine block and …

Prediction of passenger car fuel consumption using artificial neural network: a case study in the city of Niš

B Predić, M Madić, M Roganović… - Facta Universitatis …, 2016 - casopisi.junis.ni.ac.rs
The reduction of CO 2 emission which is in direct relationship with fuel consumption is of
prime importance for the future sustainable use of passenger cars. For the given passenger …

Lightweight mixture faults detection method for gasoline engine using on-line trend analysis

S Wu, Z Tang, Z Guo - International Journal of Automotive Technology, 2017 - Springer
Mixture faults detection is meaningful for gasoline engines because proper mixture is the
basic prerequisite for healthy running of a combustion engine. Among existing methods for …

Artificial neural network–based performance modeling of a diesel engine within the whole operating region considering dynamic conditions

L Sun, W Wei, Q Yan, H Jian - Proceedings of the Institution …, 2019 - journals.sagepub.com
Engine performance under full working conditions, especially dynamic ones, is
indispensable in many vehicle-level research fields. To acquire the engine performance …

Research on anti-glycation activity based on dynamic particle swarm optimization for BP neural network

B Liu - Journal of Intelligent & Fuzzy Systems, 2019 - content.iospress.com
Plenty of pharmacological and clinical experiments have proved that polysaccharide has
high pharmaceutical value, as mainly demonstrated in the fact that polysaccharide can …