Mode decomposition method integrating mode reconstruction, feature extraction, and ELM for tourist arrival forecasting

Analysis of the use of discrete wavelet transforms coupled with ANN for short-term streamflow forecasting

(2019) Paula Karenina de Macedo Machado Freire et al.   APPLIED SOFT COMPUTING

Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecasting

(2019) Ranjeeta Bisoi et al.   APPLIED SOFT COMPUTING

Short-term wind speed forecasting approach using Ensemble Empirical Mode Decomposition and Deep Boltzmann Machine

(2019) Madasthu Santhosh et al.   Sustainable Energy Grids & Networks

Modeling a combined forecast algorithm based on sequence patterns and near characteristics: An application for tourism demand forecasting

(2018) Wang Jun et al.   CHAOS SOLITONS & FRACTALS

Data decomposition based fast reduced kernel extreme learning machine for currency exchange rate forecasting and trend analysis

(2018) P.P. Das et al.   EXPERT SYSTEMS WITH APPLICATIONS

A EMD-BP integrated model to forecast tourist number and applied to Jiuzhaigou

(2018) Lin Shao-Jiang et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

A new weighted CEEMDAN-based prediction model: An experimental investigation of decomposition and non-decomposition approaches

(2018) Wang Jun et al.   KNOWLEDGE-BASED SYSTEMS

Applying high-frequency surrogate measurements and a wavelet-ANN model to provide early warnings of rapid surface water quality anomalies

(2018) Bin Shi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Emotion recognition using empirical mode decomposition and approximation entropy

(2018) Tian Chen et al.   COMPUTERS & ELECTRICAL ENGINEERING

A weighted EMD-based prediction model based on TOPSIS and feed forward neural network for noised time series

(2017) Wang Jun et al.   KNOWLEDGE-BASED SYSTEMS

A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting

(2016) Lean Yu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Seasonal SVR with FOA algorithm for single-step and multi-step ahead forecasting in monthly inbound tourist flow

(2016) Wu Lijuan et al.   KNOWLEDGE-BASED SYSTEMS

A Fast SVD-Hidden-nodes based Extreme Learning Machine for Large-Scale Data Analytics

(2016) Wan-Yu Deng et al.   NEURAL NETWORKS

Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm

(2015) Rong Chen et al.   APPLIED SOFT COMPUTING

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

Forecasting wind speed using empirical mode decomposition and Elman neural network

(2014) Jujie Wang et al.   APPLIED SOFT COMPUTING

Improved complete ensemble EMD: A suitable tool for biomedical signal processing

(2014) Marcelo A. Colominas et al.   Biomedical Signal Processing and Control

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

(2014) Guang-Bin Huang   Cognitive Computation

Sparse Extreme Learning Machine for Classification

(2014) Zuo Bai et al.   IEEE Transactions on Cybernetics

Developing a hybrid intelligent model for forecasting problems: Case study of tourism demand time series

(2013) Jamal Shahrabi et al.   KNOWLEDGE-BASED SYSTEMS

A hybrid forecasting approach applied to wind speed time series

(2013) Jianming Hu et al.   RENEWABLE ENERGY

Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm

(2012) Wei-Chiang Hong et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

The No-Prop algorithm: A new learning algorithm for multilayer neural networks

(2012) Bernard Widrow et al.   NEURAL NETWORKS

The adaptive fuzzy time series model with an application to Taiwan’s tourism demand

(2011) Ruey-Chyn Tsaur et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting tourism demand based on empirical mode decomposition and neural network

(2011) Chun-Fu Chen et al.   KNOWLEDGE-BASED SYSTEMS

Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model

(2011) Zhenhai Guo et al.   RENEWABLE ENERGY

SVR with hybrid chaotic genetic algorithms for tourism demand forecasting

(2010) Wei-Chiang Hong et al.   APPLIED SOFT COMPUTING

Analysis of Amplitude-Integrated EEG in the Newborn Based on Approximate Entropy

(2010) Lei Li et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Forecasting tourist arrivals by using the adaptive network-based fuzzy inference system

(2009) Miao-Sheng Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Constructing and applying an improved fuzzy time series model: Taking the tourism industry for example

(2007) C WANG et al.   EXPERT SYSTEMS WITH APPLICATIONS