Cite
A novel approach based on the Gauss- vSVR with a new hybrid evolutionary algorithm and input vector decision method for port throughput forecasting.
MLA
Li, Ming-Wei, et al. “A Novel Approach Based on the Gauss- VSVR with a New Hybrid Evolutionary Algorithm and Input Vector Decision Method for Port Throughput Forecasting.” Neural Computing & Applications, vol. 28, Dec. 2017, pp. 621–40. EBSCOhost, https://doi.org/10.1007/s00521-016-2396-3.
APA
Li, M.-W., Geng, J., Hong, W.-C., & Chen, Z.-Y. (2017). A novel approach based on the Gauss- vSVR with a new hybrid evolutionary algorithm and input vector decision method for port throughput forecasting. Neural Computing & Applications, 28, 621–640. https://doi.org/10.1007/s00521-016-2396-3
Chicago
Li, Ming-Wei, Jing Geng, Wei-Chiang Hong, and Zhi-Yuan Chen. 2017. “A Novel Approach Based on the Gauss- VSVR with a New Hybrid Evolutionary Algorithm and Input Vector Decision Method for Port Throughput Forecasting.” Neural Computing & Applications 28 (December): 621–40. doi:10.1007/s00521-016-2396-3.