Đang chuẩn bị liên kết để tải về tài liệu:
Groundwater level prediction using artificial neural network model

Không đóng trình duyệt đến khi xuất hiện nút TẢI XUỐNG

Forecasting of stream flow and ground water level changes became an important component of water resources system control and challenging task for water resources engineers and managers. The ground water level data and rainfall data of twenty years from 1996 to 2015 were collected. Artificial neural network (ANN) is used to predict water resources variable. The model was trained, validated and tested for randomly divided samples. The regression analysis shows good correlation between each other within the range 0.12 to 0.97 of Abhanpur block. | Groundwater level prediction using artificial neural network model

TÀI LIỆU LIÊN QUAN

Modelling and simulating the groundwater level behavior to climate change for the Ozat basin

Simulation of groundwater level using recurrent neural network (RNN) in Raichur district, Karnataka, India

Groundwater level prediction using artificial neural network model

Seasonal variation of groundwater level and quality in Xuân Mai, Hanoi, Vietnam

Effect of artificial recharge structures in improving groundwater level

Trend detection analysis of seasonal groundwater levels in Arpa river basin, Bilaspur district, Chhattisgarh, India

Study on land subsidence by continuous monitoring of land compaction with groundwater level and field uplift surveyin Ca Mau province, Vietnam

Effects of seismic activity on groundwater level and geothermal systems in İzmir, Western Anatolia, Turkey: the case study from October 30, 2020 Samos Earthquake

Summary of Doctoral thesis Geography of Environmental resources :Study the effects of natural, environment, and socio-economic condition to groundwater resources in Gio Linh, Quang Tri

Water conservation and growth
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.