A hybrid modelling method for time series forecasting based on a linear regression model and deep learning

Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting

(2018) Xueheng Qiu et al.   KNOWLEDGE-BASED SYSTEMS

Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

(2017) Huiting Zheng et al.   Energies

Combined gamma and M-test-based ANN and ARIMA models for groundwater fluctuation forecasting in semiarid regions

(2017) Bahram Choubin et al.   Environmental Earth Sciences

Scalability of using Restricted Boltzmann Machines for combinatorial optimization

(2017) Malte Probst et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Text summarization using unsupervised deep learning

(2017) Mahmood Yousefi-Azar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Data Improving in Time Series Using ARX and ANN Models

(2017) Hermine N. Akouemo et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Evaluation of vehicle interior sound quality using a continuous restricted Boltzmann machine-based DBN

(2017) Hai B. Huang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep belief network based electricity load forecasting: An analysis of Macedonian case

(2016) Aleksandra Dedinec et al.   ENERGY

Linear and non-linear autoregressive models for short-term wind speed forecasting

(2016) M. Lydia et al.   ENERGY CONVERSION AND MANAGEMENT

Breast cancer classification using deep belief networks

(2016) Ahmed M. Abdel-Zaher et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting energy consumption using ensemble ARIMA–ANFIS hybrid algorithm

(2016) Sasan Barak et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A unified approach to transfer learning of deep neural networks with applications to speaker adaptation in automatic speech recognition

(2016) Zhen Huang et al.   NEUROCOMPUTING

State-space model with deep learning for functional dynamics estimation in resting-state fMRI

(2016) Heung-Il Suk et al.   NEUROIMAGE

Forecasting exchange rate using deep belief networks and conjugate gradient method

(2015) Furao Shen et al.   NEUROCOMPUTING

Daily wind speed forecasting through hybrid KF-ANN model based on ARIMA

(2015) Osamah Basheer Shukur et al.   RENEWABLE ENERGY

Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

(2015) Xiaolei Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data

(2014) C. Narendra Babu et al.   APPLIED SOFT COMPUTING

Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

(2014) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

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

(2014) Takashi Kuremoto et al.   NEUROCOMPUTING

ANN hybrid model versus ARIMA and ARIMAX models of runoff coefficient

(2013) Ali Osman Pektaş et al.   JOURNAL OF HYDROLOGY

Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction

(2012) Hui Liu et al.   APPLIED ENERGY

Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction

(2012) Rohitash Chandra et al.   NEUROCOMPUTING

Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology

(2012) Bangzhu Zhu et al.   OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks

(2012) Hui Liu et al.   RENEWABLE ENERGY

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

(2011) G. E. Dahl et al.   IEEE Transactions on Audio Speech and Language Processing

Stock index forecasting based on a hybrid model

(2011) Ju-Jie Wang et al.   OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

A novel hybridization of artificial neural networks and ARIMA models for time series forecasting

(2010) Mehdi Khashei et al.   APPLIED SOFT COMPUTING

A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling

(2010) Min Gan et al.   INFORMATION SCIENCES

Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines

(2010) Roland Memisevic et al.   NEURAL COMPUTATION

Chaotic time series prediction with residual analysis method using hybrid Elman–NARX neural networks

(2010) Muhammad Ardalani-Farsa et al.   NEUROCOMPUTING