An empirical technique for predicting noise exposure level in the typical embroidery workrooms using artificial neural networks
Authors: Mohsen Aliabadi, Rostam Golmohammadi, Muharram Mansoorizadeh, Hassan Khotanlou, Abdoreza Ohadi Hamadani
Abstract:
Noise prediction is an important aspect of noise control in the design phase and the utilization phase of the industrial processes. This is of particular importance in the industrial embroidery which is an important part of the textile industry and in which workers are exposed to excessive noise. Using artificial neural networks, this study aims to present an empirical technique for predicting the noise level in the typical embroidery processes. The data from nine acoustic, structural and embroidery process features that influence the noise in 60 workrooms was used to develop the noise prediction technique. Multilayer feed forward neural networks with different structures were developed by using MATLAB software and genetic algorithm was employed to determine the optimal value for the initial weights of neural networks. Moreover, multiple regression techniques were employed and their results were compared with those of neural networks. The results showed that the neural networks provided more accurate predictions than did multiple regression techniques. The best neural networks could accurately predict the noise level (RMSE = 0.69 dB and R2 = 0.88). Our results demonstrate that, the developed empirical technique can be a helpful tool to analyze the noise pollution in the mentioned process and can enable acoustics and occupational health professionals to apply hearing conservation programs.
Keywords:
Noise prediction
Neural networks
Industrial embroidery
Empirical technique
Published in: Applied Acoustics (Volume 74, Issue 3, March 2013)
Publisher: Elsevier
ISSN Information: 0003-682X
An empirical technique for predicting noise exposure level in the typical embroidery workrooms using artificial neural networks
- Ngày hội Văn hóa đọc lần VI
- Vòng Sơ Khảo Cuộc Thi Đại Sứ Văn Hóa Đọc Năm 2024
- Ngày hội sách “CITTADELLA” khuyến khích và tôn vinh vai trò của sách trong sinh viên Bách khoa
- Cuộc Thi Ảnh “Khoảnh Khắc VNUHCM Libraries”
- Ngày hội văn hóa đọc lần V
- Ngày hội văn hóa đọc lần II
- Ngày hội văn hóa đọc lần IV
- Ngày hội văn hóa đọc lần III
- Tiếp GS Omer Mert Denizci, Trường ĐH Marmara Thổ Nhĩ Kỳ
- Tiếp Cô Claudia Tarzariol Từ The University Of Trento, Italy (Unitrento)
- Tiến sĩ kiều bào Mỹ tặng sách trị giá 150.000 USD cho sinh viên bách khoa
- Khảo sát ý kiến bạn đọc
-
Trực tuyến:9
-
Hôm nay:906
-
Tuần này:29896
-
Tuần trước:40192
-
Tháng trước:62689
-
Tất cả:4051792