Search Results - subject:"least squares support vector machine"

Combined soft measurement on key indicator parameters of new competitive advantages for China's export

Wang, Taosheng; Zuo, Hongyan; Wu, C. H.; Hu, B. - In: Financial Innovation 7 (2021) 1, pp. 1-24

of China based on the combined soft-sensing model of the fuzzy least squares support vector machine is established. The … squares support vector machine, and a soft-sensing model of the key index parameters of the new export competitive advantages … derived. The obtained evaluation values of the main measurement index are used as the input variable of the fuzzy least …

Persistent link: https://www.econbiz.de/10012602931

Combined soft measurement on key indicator parameters of new competitive advantages for China's export

Wang, Taosheng; Zuo, Hongyan; Wu, C. H.; Hu, B. - In: Financial innovation : FIN 7 (2021), pp. 1-24

Persistent link: https://www.econbiz.de/10012594574

Forecasting carbon price using a multi-objective least squares support vector machine with mixture kernels

Zhu, Bangzhu; Ye, Shunxin; Wang, Ping; Chevallier, Julien; … - In: Journal of forecasting 41 (2022) 1, pp. 100-117

Persistent link: https://www.econbiz.de/10012796273

Improvement of Kriging interpolation with learning kernel in environmental variables study

Xu, Te; Liu, Yongxia; Tang, Lixin; Liu, Chang - In: International journal of production research 60 (2022) 4, pp. 1284-1297

Persistent link: https://www.econbiz.de/10013170846

Forecasting inflection points : hybrid methods with multiscale machine learning algorithms

Chevallier, Julien; Zhu, Bangzhu; Zhang, Lyuyuan - In: Computational economics 57 (2021) 2, pp. 537-575

Persistent link: https://www.econbiz.de/10012486931

Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM) and Artificial Neural Network (ANN)

Giorgi, Maria Grazia De; Campilongo, Stefano; … - In: Energies 7 (2014) 8, pp. 5251-5272

farm located in complex terrain. The performances of Least-Squares Support Vector Machine (LS-SVM) with Wavelet …

Persistent link: https://www.econbiz.de/10010886253

A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting

Zhu, Bangzhu; Ye, Shunxin; Wang, Ping; He, Kaijian; … - In: Energy economics 70 (2018), pp. 143-157

Persistent link: https://www.econbiz.de/10011942668

Annual Electric Load Forecasting by a Least Squares Support Vector Machine with a Fruit Fly Optimization Algorithm

Li, Hongze; Guo, Sen; Zhao, Huiru; Su, Chenbo; Wang, Bao - In: Energies 5 (2012) 11, pp. 4430-4445

electric power systems. The least squares support vector machine (LSSVM) has been proven to offer strong potential in …

Persistent link: https://www.econbiz.de/10010676042

Asymmetric least squares support vector machine classifiers

Huang, Xiaolin; Shi, Lei; Suykens, Johan A.K. - In: Computational Statistics & Data Analysis 70 (2014) C, pp. 395-405

In the field of classification, the support vector machine (SVM) pursues a large margin between two classes. The margin is usually measured by the minimal distance between two sets, which is related to the hinge loss or the squared hinge loss. However, the minimal value is sensitive to noise and...

Persistent link: https://www.econbiz.de/10010719657

A novel least squares support vector machine ensemble model for NOx emission prediction of a coal-fired boiler

Lv, You; Liu, Jizhen; Yang, Tingting; Zeng, Deliang - In: Energy 55 (2013) C, pp. 319-329

’ habits and control system design. In this paper, a novel least squares support vector machine (LSSVM)-based ensemble learning …

Persistent link: https://www.econbiz.de/10010810654