Daily Urban Water Demand Forecasting Based on Chaotic Theory and Continuous Deep Belief Neural Network

Red tide time series forecasting by combining ARIMA and deep belief network

(2017) Mengjiao Qin et al.   KNOWLEDGE-BASED SYSTEMS

Research on exchange rate forecasting based on deep belief network

(2017) Jing Zheng et al.   NEURAL COMPUTING & APPLICATIONS

Deep belief network based deterministic and probabilistic wind speed forecasting approach

(2016) H.Z. Wang et al.   APPLIED ENERGY

Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models

(2016) Yun Bai et al.   JOURNAL OF HYDROLOGY

DeepChart: Combining deep convolutional networks and deep belief networks in chart classification

(2016) Binbin Tang et al.   SIGNAL PROCESSING

Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network

(2015) Yushi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Forecasting exchange rate using deep belief networks and conjugate gradient method

(2015) Furao Shen et al.   NEUROCOMPUTING

Urban Residential Water Demand Prediction Based on Artificial Neural Networks and Time Series Models

(2015) Muhammad A. Al-Zahrani et al.   WATER RESOURCES MANAGEMENT

A multi-scale relevance vector regression approach for daily urban water demand forecasting

(2014) Yun Bai et al.   JOURNAL OF HYDROLOGY

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

(2014) Takashi Kuremoto et al.   NEUROCOMPUTING

Application of Deep Belief Networks for Natural Language Understanding

(2014) Ruhi Sarikaya et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Failure diagnosis using deep belief learning based health state classification

(2013) Prasanna Tamilselvan et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

ANN-based residential water end-use demand forecasting model

(2012) Christopher Bennett et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multiscale nonlinear model for monthly streamflow forecasting: a wavelet-based approach

(2012) Maheswaran Rathinasamy et al.   JOURNAL OF HYDROINFORMATICS

Urban Water Demand Forecasting: Review of Methods and Models

(2012) Emmanuel A. Donkor et al.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT

Acoustic Modeling Using Deep Belief Networks

(2011) Abdel-rahman Mohamed et al.   IEEE Transactions on Audio Speech and Language Processing

Investigating chaos in river stage and discharge time series

(2011) Rahman Khatibi et al.   JOURNAL OF HYDROLOGY

Comparison of Multivariate Regression and Artificial Neural Networks for Peak Urban Water-Demand Forecasting: Evaluation of Different ANN Learning Algorithms

(2010) Jan Adamowski et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Predictive models for forecasting hourly urban water demand

(2010) Manuel Herrera et al.   JOURNAL OF HYDROLOGY

Identifying Prominent Explanatory Variables for Water Demand Prediction Using Artificial Neural Networks: A Case Study of Bangkok

(2010) Mukand Singh Babel et al.   WATER RESOURCES MANAGEMENT

Peak Daily Water Demand Forecast Modeling Using Artificial Neural Networks

(2008) Jan Franklin Adamowski   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT

Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

(2008) Nicolas Le Roux et al.   NEURAL COMPUTATION

Bayesian neural network approach to short time load forecasting

(2007) Philippe Lauret et al.   ENERGY CONVERSION AND MANAGEMENT