Noise is a form of a pollutant that is terrorizing the occupational health experts for many decades due to its adverse side-efects on the workers in the industry. Noise-Induced Hearing Loss (NIHL) handicap is one out of many health hazards caused due to excessive exposure to highfrequency izoise emiffedfrom the machines. A number of studies have been carriedout tofiitd the significant factors iiivolved in causing NIHL in industrial workers using Artificial Neural Nehoorks. Despite providing useful inforntntion on hearing loss, these studies have neglected some important factors. Therefore, the cunent study is using age, work-duration, and maximum and minimunt noise exposure as the main factors involved in the hearing loss. Gradient Descent with Adaptive Momentum (GDAM)algorithm is proposed to predict the NIHL in workers. The results show 98.21 % average accuracy behueen the actual and the predicted datasets and the MSE for both ears is 2.10~10-3H. earing threshold sh$ found in the selected workers was greater than 25 dB, zohich means hearing impairment has occurred. Also, Hearing Deterioration Index (HDI) is fotrnd to be quite high for diferent souizd pressure levels such as maximum exposure (dB)and average exposure (dB) but is reported normal for minimum exposure(dB) for all workers
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