Tạp chí
 
Năm 2018
 
Số 1 [02 - 2018], Năm thứ XXXII

Nghiên cứu đánh giá sử dụng mạng nơ-ron nhân tạo trong dự báo sóng va đập không khí sinh ra do nổ mìn trên mỏ lộ thiên

https://tapchi.hoimovietnam.vn/vi/archives?article=180112

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    Trường Đại học Mỏ - Địa chất

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  • Nhận bài: 15-06-2017
  • Sửa xong: 25-11-2017
  • Chấp nhận: 05-01-2018
  • Ngày đăng: 28-02-2018
Trang: 60 - 66
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Tóm tắt:

Air-biast overpressure is one the harmful effects of blasting operations in open pit mine. It can cause vibration in buildings, houses, broken ? the glass door system and structural damage, affecting the human, etc. Therefore, controlling and predicting the air-blast overpressure in open pit mine is a necessary technique to reduce the affecting of air-blast overpressure to the environment surrounding. This paper aims to assess the usability of Artificial Neural Network (ANN) for predicting air-blast overpressure in open pit mine of Vietnam. Đèo Nai open pit coal mine was considered as a case study and ■ Multilayer Perceptron neura! network with 3 hidden layers was used to predict air-blast overpressure in this study. The results indicate that ANN is a modern technique for predicting air-blast overpressure in open pit mine of Vietnam and ANN 9-5-3-1 model is the optimal model with RMSE=2.634, R2=0,951, and MAE=2.040. These results are useful for blasters and management of the mine to contra! and reduce the affecting of.air-blast overpressure in blasting operations and based on that to propose a neural network model for predicting air-blast overpressure in actual.

Trích dẫn
Bùi Xuân Nam và Nguyễn Hoàng, 2018. Nghiên cứu đánh giá sử dụng mạng nơ-ron nhân tạo trong dự báo sóng va đập không khí sinh ra do nổ mìn trên mỏ lộ thiên, Tạp chí Công nghiệp Mỏ, số XXXII, kỳ 1, tr. 60-66.
Tài liệu tham khảo

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