Using evolutionary algorithms for continuous simulation of long-term reservoir inflows

IF 1.1 4区工程技术 Q3 ENGINEERING, CIVIL

Proceedings of the Institution of Civil Engineers-Water Management Pub Date : 2021-09-02 DOI:10.1680/jwama.20.00128

M. Sedighkia, B. Datta

引用次数: 5

Abstract

Data-driven models provide upgradeable environment to simulate inflow to reservoirs. One of the important aspects of developing adaptive neural fuzzy inference system (ANFIS) is to choose a right p...

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利用进化算法连续模拟水库长期流入

数据驱动模型为模拟油藏流入提供了可升级的环境。开发自适应神经模糊推理系统(ANFIS)的一个重要方面是选择合适的模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proceedings of the Institution of Civil Engineers-Water Management 工程技术-工程：土木

CiteScore

2.10

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Water Management publishes papers on all aspects of water treatment, water supply, river, wetland and catchment management, inland waterways and urban regeneration. Topics covered: applied fluid dynamics and water (including supply, treatment and sewerage) and river engineering; together with the increasingly important fields of wetland and catchment management, groundwater and contaminated land, waterfront development and urban regeneration. The scope also covers hydroinformatics tools, risk and uncertainty methods, as well as environmental, social and economic issues relating to sustainable development.