PREDICTING THE WHEEL ROLLING RESISTANCE REGARDING IMPORTANT MOTION PARAMETERS USING THE ARTIFICIAL NEURAL NETWORK

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GHESHLAGHI F.; MARDANI A.

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Journal Paper

Paper Information

Journal: JOURNAL OF AGRICULTURAL MACHINERY Year:2016 | Volume:6 | Issue:1 Page(s): 259-270

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Information Journal Paper

Title

PREDICTING THE WHEEL ROLLING RESISTANCE REGARDING IMPORTANT MOTION PARAMETERS USING THE ARTIFICIAL NEURAL NETWORK

Author(s)

GHESHLAGHI F. | MARDANI A. | Issue Writer Certificate

Keywords

ARTIFICIAL NEURAL NETWORKQ2

INFLATION PRESSURE OF TIREQ2

ROLLING RESISTANCEQ1

SOIL BINQ2

VERTICAL LOADQ2

Abstract

cIntroduction: ROLLING RESISTANCE is one of the most substantial energy losses when the wheel moves on soft soil. ROLLING RESISTANCE value optimization will help to improve energy efficiency. Accurate modeling of the interaction soil-tire is an important key to this optimization and has eliminated the need for costly field tests and has reduced the time required to test....

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APA: Copy

GHESHLAGHI, F., & MARDANI, A.. (2016). PREDICTING THE WHEEL ROLLING RESISTANCE REGARDING IMPORTANT MOTION PARAMETERS USING THE ARTIFICIAL NEURAL NETWORK. JOURNAL OF AGRICULTURAL MACHINERY, 6(1), 259-270. SID. https://sid.ir/paper/201431/en

Vancouver: Copy

GHESHLAGHI F., MARDANI A.. PREDICTING THE WHEEL ROLLING RESISTANCE REGARDING IMPORTANT MOTION PARAMETERS USING THE ARTIFICIAL NEURAL NETWORK. JOURNAL OF AGRICULTURAL MACHINERY[Internet]. 2016;6(1):259-270. Available from: https://sid.ir/paper/201431/en

IEEE: Copy

F. GHESHLAGHI, and A. MARDANI, “PREDICTING THE WHEEL ROLLING RESISTANCE REGARDING IMPORTANT MOTION PARAMETERS USING THE ARTIFICIAL NEURAL NETWORK,” JOURNAL OF AGRICULTURAL MACHINERY, vol. 6, no. 1, pp. 259–270, 2016, [Online]. Available: https://sid.ir/paper/201431/en

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