Prediction of settlement over time for road construction in bac ninh and hai duong province of vietnam using anns models

Từ khóa:

Dự đoán
mạng nơ ron nhân tạo (ANN)
lún mặt đất
xây dựng đường

Tóm tắt:

Mạng nơ-ron nhân tạo (artificial neural network - ANN) đã được áp dụng trong các vấn đề dự báo độ lún. Tuy nhiên chưa có nhiều nghiên cứu về dự báo độ lún theo thời gian. Trong bài báo này một mô hình mạng nơ-ron nhân tạo sẽ được phát triển để dự báo độ lún của hai công trình xây dựng đường khác nhau. Kết quả dự báo sẽ được so sánh với hai phương pháp truyền thống (phương pháp Asaoka và phương pháp Asaoka kết hợp đa thức). Độ chính xác của mô hình sẽ được đánh giá qua hai chỉ số: Hệ số tương quan bội (R²) và sai số toàn phương trung bình (MSE). So sánh kết quả dự đoán của các mô hình với kết quả thực tế có thể thấy: nên sử dụng mạng nơ-ron nhân tạo (ANN) để dự báo lún theo thời gian trong quá trình thi công đường.

Nội dung:

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