An approach of recursive timing deep belief network for algal bloom forecasting

Rainfall-integrated traffic speed prediction using deep learning method

(2017) Yuhan Jia et al.   IET Intelligent Transport Systems

Improving Traffic Flow Prediction With Weather Information in Connected Cars: A Deep Learning Approach

(2016) Arief Koesdwiady et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Object-oriented ensemble classification for polarimetric SAR Imagery using restricted Boltzmann machines

(2016) Fachao Qin et al.   Remote Sensing Letters

Uncertainty analysis of support vector machine for online prediction of five-day biochemical oxygen demand

(2015) Roohollah Noori et al.   JOURNAL OF HYDROLOGY

Time series forecasting using a deep belief network with restricted Boltzmann machines

(2014) Takashi Kuremoto et al.   NEUROCOMPUTING

Artificial neural network modelling of macrophyte indices based on physico-chemical characteristics of water

(2013) Daniel Gebler et al.   HYDROBIOLOGIA

Modeling of Water Quality Parameters Using Data-Driven Models

(2013) H. Orouji et al.   JOURNAL OF ENVIRONMENTAL ENGINEERING

An Interval-Deviation Approach for hydrology and water quality model evaluation within an uncertainty framework

(2013) Lei Chen et al.   JOURNAL OF HYDROLOGY

Nutrient sources and composition of recent algal blooms and eutrophication in the northern Jiulong River, Southeast China

(2011) Ying Li et al.   MARINE POLLUTION BULLETIN