Deep neural network analyses of water quality time series associated with water sensitive urban design (WSUD) features

Autor:	Kim N. Irvine, A.A. Cokro, Ho Huu Loc, Quang Hung Do
Rok vydání:	2020
Předmět:	Adaptive neuro fuzzy inference system Series (mathematics) Artificial neural network business.industry Computer science Computer Science::Neural and Evolutionary Computation 0208 environmental biotechnology Group method 02 engineering and technology 010501 environmental sciences Machine learning computer.software_genre 01 natural sciences 020801 environmental engineering Fuzzy inference system Water quality Artificial intelligence Water-sensitive urban design business computer 0105 earth and related environmental sciences Water Science and Technology
Zdroj:	Journal of Applied Water Engineering and Research. 8:313-332
ISSN:	2324-9676
DOI:	10.1080/23249676.2020.1831976
Popis:	The abilities of Long short-term memory (LSTM), Gated recurrent units (GRU), Adaptive-network-based fuzzy inference system (ANFIS), Artificial neural networks (ANN), and Group method of data handli...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8e884bb22ffacda97f8f1004babe6ec7 https://doi.org/10.1080/23249676.2020.1831976 Zobrazit plný text záznamu