标题:
台湾地区智能型水资源综合经营管理Artificial Intelligence for Integrated Water Resources Management in Taiwan
作者:
张斐章
关键字:
人工智能, 类神经网络, 模糊理论, 遗传算法, 水资源经营管理Artificial Intelligence (AI); Artificial Neural Networks (ANNs); Fuzzy Theory; Genetic Algorithms (GA); Integrated Water Resources Management (IWRM)
期刊名称:
《Journal of Water Resources Research》, Vol.2 No.5, 2013-10-29
摘要:
人工智能俨然为现今热门科技研究项目及发展迅速的应用技术，能处理大量的水文信息，具有从输入的环境讯息中获取并累积经验、储存知识，进而能像人具有智慧的作出判断及推论的智能型演算程序。将人工智能应用于水资源经营管理，在台湾地区有许多成功的案例，本文旨在介绍吾等以人工智能相关理论于解决台湾地区各式水资源经营管理议题及开发水文信息系统的案例与经验。期望未来能有更多的同好参与持续整合水文水资源、生态环境及资讯工程等领域之科技，并开发更先进好用的人工智能相关理论技术于水文水资源系统，维护永续发展之生态环境，创造人工智能用于水资源经营管理的新世纪。
Artificial intelligence (AI) is a state-of-the-art
technology and has nowadays become highly popular in scientific and
technological fields. AI possesses great capability in handling mass
information and formulating intelligent algorithms with human-like logical
inference through learning messages and storing knowledge from input
information. AI has been applied with great success to water resources
management in Taiwan. This study aims to systematically present the development
and achievements of AI techniques on integrated water sources management and
hydro-informatics with respect to diversified domains including hydrology,
engineering, environment, eco-hydrology and hydro-meteorology in Taiwan. The
continual integration of AI techniques (neural networks, fuzzy inference,
genetic algorithms) with domain-driven technologies from hydrological, water
resources, eco-environmental and informatics engineering fields will be our
future mission, which is dedicated to the development of advanced intelligent
techniques on hydro-related systems/ platforms. The creation of a new era on
water resources management and sustainable eco-environment with AI is an
everlasting goal for us all to pursue.