A neural network (CSA-LSSVM) model for the estimation of surface tension of branched alkanes
Author:
Affiliation:
1. School of Electronic Information & Engineering, Chongqing Three Gorges University, Chongqing, China
2. School of Electrical Engineering, Southeast University, Nanjing, China
Funder
China Chongqing science and technology project
Publisher
Informa UK Limited
Subject
Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
Link
https://www.tandfonline.com/doi/pdf/10.1080/15567036.2018.1520363
Reference24 articles.
1. Methane hydrate formation in the presence of ZnO nanoparticle and SDS: Application to transportation and storage
2. Application of constrained multi-variable search methods for prediction of PVT properties of crude oil systems
3. Application of least square support vector machines in the prediction of aeration performance of plunging overfall jets from weirs
4. Surface Tensions of Linear and Branched Alkanes from Monte Carlo Simulations Using the Anisotropic United Atom Model
5. Model-based machine learning
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