✦ LIBER ✦

Endpoint Prediction of EAF Based on Multiple Support Vector Machines

✍ Scribed by Ping YUAN; Zhi-zhong MAO; Fu-li WANG

Book ID: 117695641
Publisher: Chinese Electronic Periodical Services
Year: 2007
Tongue: English
Weight: 523 KB
Volume: 14
Category: Article
ISSN: 1006-706X
DOI: 10.1016/s1006-706x(07)60021-1

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Prediction of neurotoxins by support vec

Prediction of neurotoxins by support vector machine based on multiple feature vectors

✍ Xuan-Min Guang; Yan-Zhi Guo; Xia Wang; Meng-Long Li 📂 Article 📅 2010 🏛 International Association of Scientists in the Int 🌐 English ⚖ 268 KB

Nonlinear structural response prediction

Nonlinear structural response prediction based on support vector machines

✍ Dong Yinfeng; Li Yingmin; Lai Ming; Xiao Mingkui 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 614 KB

A support vector machines (SVM)-based two-stage method is proposed to simulate and predict the nonlinear dynamic response of structures. In the first stage, an autoregressive moving average with exogenous input (ARMAX) model is used to represent the acceleration response as the output of a single-in

Temperature prediction control based on

Temperature prediction control based on least squares support vector machines

✍ Bin Liu; Hongye Su; Weihua Huang; Jian Chu 📂 Article 📅 2004 🏛 South China University of Technology and Academy o 🌐 English ⚖ 536 KB

Online prediction model based on support

Online prediction model based on support vector machine

✍ Wenjian Wang; Changqian Men; Weizhen Lu 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 437 KB

Hypersphere support vector machines base

Hypersphere support vector machines based on generalized multiplicative updates

✍ Qing Wu; San-yang Liu; Le-you Zhang 📂 Article 📅 2008 🏛 Chinese Electronic Periodical Services 🌐 English ⚖ 192 KB

Mine water discharge prediction based on

Mine water discharge prediction based on least squares support vector machines

✍ Xiaohui GUO; Xiaoping MA 📂 Article 📅 2010 🏛 Elsevier 🌐 English ⚖ 257 KB