Wind Speed Forecasting Using Improved Random Vector Functional Link Network

被引：0
|
作者：
Nhabangue, Moreira F. C. [1 ]
Pillai, G. N. [1 ]
机构：
[1] Indian Inst Technol Roorkee, Dept Elect Engn, Roorkee, Uttar Pradesh, India
来源：
2018 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI) | 2018年
关键词：
Random Vector Functional Link; Chebyshev Polynomials; Empirical Mode Decomposition; Wind speed prediction; EMPIRICAL MODE DECOMPOSITION; EXTREME LEARNING-MACHINE; REGRESSION; PREDICTION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes an improved Random Vector Functional Link Network (RVFL) for better performance in regression problems. The model applies the Chebyshev expansion to transform the direct links of the RVFL providing better mapping of nonlinear functions when compared with RVFL model. Two wind speed datasets are used for performance comparison with other models. The application of Chebyshev expansion in the RVFL enables the RVFL to have a lower number of activation nodes reducing its size with better performance. The models are also tested with their ensembled version by applying the empirical mode decomposition (EMD).
引用
下载
收藏
页码：1744 / 1750
页数：7
相关论文
共 50 条
  • [11] Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network
    Du, Liang
    Gao, Ruobin
    Suganthan, Ponnuthurai Nagaratnam
    Wang, David Z. W.
    2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
  • [12] An Improved Wavelet Neural Network Method for Wind Speed Forecasting
    Yao, Chuanan
    Yu, Yongchang
    JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE, 2013, 10 (12) : 2860 - 2865
  • [13] Co-Trained Random Vector Functional Link Network
    Ganaie, M. A.
    Tanveer, M.
    Suganthan, P. N.
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
  • [14] Parsimonious random vector functional link network for data streams
    Pratama, Mahardhika
    Angelov, Plamen P.
    Lughofer, Edwin
    Er, Meng Joo
    INFORMATION SCIENCES, 2018, 430 : 519 - 537
  • [15] Visual Tracking With Convolutional Random Vector Functional Link Network
    Zhang, Le
    Suganthan, Ponnuthurai Nagaratnam
    IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47 (10) : 3243 - 3253
  • [16] Online Label Distribution Learning Using Random Vector Functional-Link Network
    Huang, Jintao
    Vong, Chi-Man
    Qian, Wenbin
    Huang, Qin
    Zhou, Yimin
    IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 7 (04): : 1177 - 1190
  • [17] An Elitist Artificial Electric Field Algorithm Based Random Vector Functional Link Network for Cryptocurrency Prices Forecasting
    Nayak, Sarat Chandra
    Das, Subhranginee
    Dehuri, Satchidananda
    Cho, Sung-Bae
    IEEE ACCESS, 2023, 11 : 57693 - 57716
  • [18] Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecasting
    Bisoi, Ranjeeta
    Dash, P. K.
    Mishra, S. P.
    APPLIED SOFT COMPUTING, 2019, 80 : 475 - 493
  • [19] Ensemble Incremental Random Vector Functional Link Network for Short-term Crude Oil Price Forecasting
    Qiu, Xueheng
    Suganthan, P. N.
    Amaratunga, Gehan A. J.
    2018 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI), 2018, : 1758 - 1763
  • [20] Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting
    Qiu, Xueheng
    Suganthan, Ponnuthurai Nagaratnam
    Amaratunga, Gehan A. J.
    KNOWLEDGE-BASED SYSTEMS, 2018, 145 : 182 - 196
12345