講座主題：Machine Learning and Transport Simulations for Groundwater Anomaly Detection
主講人：Jiangguo Liu
工作單位：Colorado State University
講座時間：2019年5月29日10點30
講座地點：數(shù)學(xué)院341
主辦單位：煙臺大學(xué)數(shù)學(xué)與信息科學(xué)學(xué)院
內(nèi)容摘要：
In this talk, we present studies on models and algorithms for groundwater anomaly detection. Specifically, conductivity along with four other surrogates are used for identifying anomaly in groundwater, the one-class support vector machine (SVM) technique is utilized for model training, and real data from “Colorado Water Watch” is used for testing the models and algorithms. Design of code modules in Python will be briefly discussed. Since groundwater contamination rarely happens in reality, we also use data from numerical simulations of flow and transport in porous media to test the anomaly detection code modules. This is a joint work with Ken Carlson, Jianli Gu, and Huishu Li at Colorado State University.
主講人介紹：
Jiangguo (James) Liu劉江國,，美國科羅拉多州立大學(xué)數(shù)學(xué)系教授,，博士生導(dǎo)師。曾任美國工業(yè)與應(yīng)用數(shù)學(xué)學(xué)會中部地區(qū)分會主席，現(xiàn)任 Journal of Computational and Applied Mathematics 雜志編輯,。主要研究興趣為數(shù)值分析,，科學(xué)計算,，及生物數(shù)學(xué),。已在 SIAM Journal on Numerical Analysis, SIAM Journal on Scientific Computing, Journal of Computational Physics 等雜志上發(fā)表論文40多篇。所主持研究項目受美國國家自然科學(xué)基金資助,。
