publication . Article . 2013

Noise evaluation of MF285 and U650 tractors by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS) method

Farzad Jaliliantabar; Hekmat Rabbani; Alinejat Lorestani; Payam Javadikia; Rashid Gholami;
Open Access English
  • Published: 01 Mar 2013 Journal: Journal of Measurements in Engineering (issn: 2335-2124, eissn: 2424-4635, Copyright policy)
  • Publisher: JVE International
Abstract
In this research ANFIS method has been used to predict sound pressure levels of MF285 and U650 tractors for following machines: moldboard plow, chisel plow, cultivator, rotary tiller, boom-type sprayer, disk harrow and ditcher. Combination of fuzzy logic with architectural design of neural network leads to creation of neuro-fuzzy systems, which benefit from feed forward calculation of output and back-propagation learning capability of neural networks, while keeping interpret-ability of a fuzzy system. An adaptive neuro-fuzzy inference system architecture based on the Takagi-Sugeno model created to modeling of sound pressure level of MF285 and U650 tractors durin...
Subjects
free text keywords: ANFIS, ergonomy, MF285, sound pressure level, U650, Technology (General), T1-995
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