Search Results - subject:"Support vector regression"

Generalized recurrent neural network for ϵ-insensitive support vector regression

Zhao, Yan; Liu, Qingshan - In: Mathematics and Computers in Simulation (MATCOM) 86 (2012) C, pp. 2-9

In this paper, a generalized recurrent neural network is proposed for solving ϵ-insensitive support vector regression …

Persistent link: https://www.econbiz.de/10011051206

Application of SVR with chaotic GASA algorithm in cyclic electric load forecasting

Zhang, Wen Yu; Hong, Wei-Chiang; Dong, Yucheng; Tsai, Gary - In: Energy 45 (2012) 1, pp. 850-858

demand planned year. Hybridization of support vector regression (SVR) with chaotic sequence and evolutionary algorithms has …

Persistent link: https://www.econbiz.de/10011054888

A Comprehensive Review on Capital Structure Theories

Ahmadinia, Hamed; Afrasiabishani, Javad; Hesami, Elham - In: Romanian Economic Journal 15 (2012) 45, pp. 3-26

structure, this paper is going to suggest a new model called genetic algorithm model by using support vector regression and …

Persistent link: https://www.econbiz.de/10010584108

Use of support vector regression in structural optimization: Application to vehicle crashworthiness design

Zhu, Ping; Pan, Feng; Chen, Wei; Zhang, Siliang - In: Mathematics and Computers in Simulation (MATCOM) 86 (2012) C, pp. 21-31

material and structural parameters. This paper presents two industrial cases using support vector regression (SVR) for vehicle …

Persistent link: https://www.econbiz.de/10010751816

Empirical mode decomposition–based least squares support vector regression for foreign exchange rate forecasting

Lin, Chiun-Sin; Chiu, Sheng-Hsiung; Lin, Tzu-Yu - In: Economic Modelling 29 (2012) 6, pp. 2583-2590

, this study proposes a hybrid forecasting model using empirical mode decomposition (EMD) and least squares support vector … regression (LSSVR) for foreign exchange rate forecasting. EMD is used to decompose the dynamics of foreign exchange rate into …

Persistent link: https://www.econbiz.de/10010588250

An annual load forecasting model based on support vector regression with differential evolution algorithm

Wang, Jianjun; Li, Li; Niu, Dongxiao; Tan, Zhongfu - In: Applied Energy 94 (2012) C, pp. 65-70

. Support vector regression (SVR) is proven to be useful in dealing with non-linear forecasting problems in recent years. The … forecasting model combining differential evolution (DE) algorithm and support vector regression to deal with this problem, where …

Persistent link: https://www.econbiz.de/10010572007