International Conference on Mechanical and Manufacturing Engineering (ICME2013)
December 17, 2013 – December 19, 2013
Hotel Equatorial Bangi
Bangi, Putrajaya, Malaysia

Font Size: 
722 – Hybrid Bat-BP: A New Intelligent tool for Diagnosing Noise-Induced Hearing Loss (NIHL) in Malaysian Industrial Workers
Nazri Mohd Nawi, Muhammad Zubair Rehman, Mohd Imran Ghazali, Musli Nizam Yahya, Abdullah Khan

Building: Hotel Equatorial Bangi
Room: Room 4
Date: 18-12-2013
Session Time Block: 08:15 AM – 09:45 AM
Paper ID: 722

Last modified schedule: 09-11-2013


Noise-Induced Hearing Loss (NIHL) has become a major health threat to the Malaysian industrial workers in the recent era due to exposure to high frequency noise produced by the heavy machines. Recently, many studies have been conducted to diagnose the NIHL in industrial workers but unfortunately they neglected some factors that can play a major role in speeding-up NIHL. In this paper, a new Hybrid Bat-BP algorithm which is based on the trio combination of BAT based metaheuristic optimization, back-propagation neural network, and fuzzy logic is proposed to diagnose NIHL in Malaysian industrial workers. The proposed Hybrid Bat-BP will use heat, body mass index (BMI), diabetes, and smoking along with the century old audiometric variables (i.e. age, frequency, and duration of exposure) to better predict NIHL in Malaysian workers. The results obtained through Hybrid Bat-BP will be able to help us identify and reduce the NIHL rate in the workers with high accuracy.


Noise-induced hearing loss (NIHL); fuzzy logic; fuzzy expert systems; hybrid Bat-BP algorithm; back-propagation neural network; hearing impairment; noise