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Body and Safety, Manufacturing, Materials and Recycling |
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PREDICTION OF NONLINEAR STRESS-STRAIN BEHAVIORS WITH ARTIFICIAL NEURAL NETWORKS AND ITS APPLICATION FOR AUTOMOTIVE RUBBER PARTS
Junye Park , Cheol Kim , Hyung-seok Lee
Int J Automot Technol. 2023;24(6):1481-1491. DOI: https://doi.org/10.1007/s12239-023-0119-1
 
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Cited By 1 |
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Engine and Emissions |
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Machine Learning Application to Predict Combustion Phase of a Direct Injection Spark Ignition Engine
Rio Asakawa, Keisuke Yokota, Iku Tanabe, Kyohei Yamaguchi, Ratnak Sok, Hiroyuki Ishii, Jin Kusaka
Int J Automot Technol. 2022;23(1):265-272. DOI: https://doi.org/10.1007/s12239-022-0023-0
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Cited By 1 |
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Materials and Recycling |
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PREDICTION OF NONLINEAR STIFFNESS OF AUTOMOTIVE BUSHINGS BY ARTIFICIAL NEURAL NETWORK MODELS TRAINED BY DATA FROM FINITE ELEMENT ANALYSIS
Yeon-Woo Jung, Heung-Kyu Kim
Int J Automot Technol. 2020;21(6):1539-1551. DOI: https://doi.org/10.1007/s12239-020-0145-1
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Cited By 6 |
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Body and Safety, Manufacturing, Materials and Recycling |
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MINIMIZATION OF SURFACE DEFLECTION IN RECTANGULAR
EMBOSSING USING AUTOMATIC TRAINING OF ARTIFICIAL NEURAL
NETWORK AND GENETIC ALGORITHM
Sungmin Cho, Wanjin Chung
Int J Automot Technol. 2019;20(S):57-66. DOI: https://doi.org/10.1007/s12239-019-0128-2
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Cited By 2 |
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Body and Safety, Manufacturing, Materials and Recycling |
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MINIMIZATION OF SURFACE DEFLECTION IN RECTANGULAR
EMBOSSING USING AUTOMATIC TRAINING OF ARTIFICIAL NEURAL
NETWORK AND GENETIC ALGORITHM
Sungmin Cho, Wanjin Chung
Int J Automot Technol. 2019;20(0):57-66. DOI: https://doi.org/10.1007/s12239-019-0128-2
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Cited By 2 |
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Other Fields of Automotive Engineering |
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MODELING ENGINE FUEL CONSUMPTION AND NOx WITH RBF NEURAL NETWORK AND MOPSO ALGORITHM
J. D. MARTÍNEZ-MORALES, E. R. PALACIOS-HERNÁNDEZ, G. A. VELÁZQUEZ-CARRILLO
Int J Automot Technol. 2015;16(6):1041-1049. DOI: https://doi.org/10.1007/s12239-015-0106-2
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Cited By 13 |
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Other Fields of Automotive Engineering |
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HUMAN RIDE COMFORT PREDICTION OF DRIVE TRAIN USING MODELING METHOD BASED ON ARTIFICIAL NEURAL NETWORKS
S. LERSPALUNGSANTI, A. ALBERS, S. OTT, T. DÜSER
Int J Automot Technol. 2015;16(1):153-166. DOI: https://doi.org/10.1007/s12239-015-0017-2
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Cited By 13 |
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Engine, Emission Technology |
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ARTIFICIAL NEURAL NETWORK APPROACH TO STUDY THE EFFECT OF INJECTION PRESSURE AND TIMING ON DIESEL ENGINE PERFORMANCE FUELED WITH BIODIESEL
G. R. KANNAN
Int J Automot Technol. 2013;14(4):507-519. DOI: https://doi.org/10.1007/s12239-013-0055-6
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Cited By 37 |
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Other Fields of Automotive Engineering |
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CAPACITY ESTIMATION OF TORQUE CONVERTERS WITH PISTON HOLES USING THE RESPONSE SURFACE METHOD AND AN ARTIFICIAL NEURAL NETWORK
D. M. CHUN, J. C. LEE, J. C. YEO, S. H. AHN, S. S. HONG, J. D. JANG
Int J Automot Technol. 2011;12(2):273-280. DOI: https://doi.org/10.1007/s12239-011-0032-x
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Cited By 2 |
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Materials and Recycling, Manufacturing |
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NEURAL NETWORK MODEL FOR DESIGNING AUTOMOTIVE DEVICES USING SMD LEDS
A. V. ORTEGA, I. N. SILVA
Int J Automot Technol. 2008;9(2):203-210.
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Engine, Emission Technology |
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PREDICTION OF EMISSIONS USING COMBUSTION PARAMETERS IN A DIESEL ENGINE FITTED WITH CERAMIC FOAM DIESEL PARTICULATE FILTER THROUGH ARTIFICIAL NEURAL NETWORK TECHNIQUES
N. BOSE, I. RAGHAVAN
Int J Automot Technol. 2005;6(2):95-105.
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