深度學習與地下水模擬
Deep Learning and Groundwater Modeling
| 節 | 週四 |
|---|---|
5 13:20–14:10 | 深度學習與地下水模擬 EB403 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
地下水為重要的水資源,約莫供應人類三分之一的用水需求。然而,過度抽取地下水導致地層下陷、海水入侵及土壤鹽化等環境災害。為良好管理地下水資源及防災,準確的地下水模擬十分重要。第三次人工智慧浪潮下,深度學習進一步地融合大數據型態的多樣性(Data variety),如影像、聲音及文字,可以帶給地下水模擬更多的可能性。本課程目標為介紹人工智慧在地下水模擬上的相關應用,使學生具備應用深度學習於地下水管理及防災之能力。 Groundwater is a crucial water resource, supplying approximately one-third of human water needs. However, excessive extraction of groundwater has led to environmental disasters such as land subsidence, seawater intrusion, and soil salinization. To effectively manage groundwater resources and prevent disasters, accurate groundwater modeling is essential. In the third wave of artificial intelligence, Deep Learning integrates the variety of big data types, such as image, sound, and text, offering more possibilities for groundwater modeling. The objective of this course is to introduce the applications of artificial intelligence in groundwater modeling, enabling students to apply deep learning in groundwater management and disaster prevention.
- 水文學(Hydrology) - 計算機概論(Introduction to Computer Science)
上課投影片 (Power Points ) 實機操作程式 (Hands-on coding)
作業(Assignment): 30% 期中考(Midexam) : 20% 期末報告(Final Project):30% 課程參與(Participation): 20%
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction of AI Applications in Groundwater Management |
| 第 2 週 | Introduction of Groundwater Modeling |
| 第 3 週 | Groundwater System and Hydrogeological Parameters |
| 第 4 週 | Introduction of Machine Learning |
| 第 5 週 | Perceptron |
| 第 6 週 | Multilayer Perceptron |
| 第 7 週 | Ensemble Learning |
| 第 8 週 | Random Forest |
| 第 9 週 | Black-Box Analysis in Modeling Groundwater |
| 第 10 週 | Introduction of Deep Learning |
| 第 11 週 | Recurrent Neural Network & Long Short-Term Memory |
| 第 12 週 | LSTM Applications in Modeling Groundwater level |
| 第 13 週 | Convolution Neural Networks |
| 第 14 週 | GeoAI for Extracting Spatial Data (Groundwater Sources, Sinks, and Hydrogeological Parameters) |
| 第 15 週 | Computer Vision Applications in Modeling Groundwater |
| 第 16 週 | Computer Vision Applications in Hydrogeological Exploration |
1. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT press. 2. Herbert F. Wang & Mary P. Anderson, (1982). Introduction to Groundwater Modeling – Finite Difference and Finite Element Methods. 3. Handouts
- 地點
- EB213 老師辦公室
- 時間
- Office hours: Thursday, 10:00 AM to 12:00 PM
- 聯絡方式
- email: chun-wei.huang@nycu.edu.tw