構造互補函數與其在最佳化和數據科學上的應用

Project: Government MinistryMinistry of Science and Technology

Project Details

Description

We produce three high quality papers. 1. J.-H.\ Sun, W.-C.\ Fu, J.H.\ Alcantara, and J.-S.\ Chen, A neural network based on the metric projector for solving SOCCVI problem, IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 7, pp. 2886-2900, 2021. 2. J.H.\ Alcantara and J.-S.\ Chen, A novel generalization of the natural residual function and a neural network approach for the NCP, Neurocomputing, vol. 413, pp. 368-382, 2020. 3.Y.-L.\ Chang, C.-Y.\ Yang, C.T.\ Nguyen, and J.-S.\ Chen*, Novel constructions of complementarity functions associated with symmetric cones, submitted to Mathematics of Operations Research, 2020. The first one is published in IEEE Transactions on Neural Networks and Learning Systems, which is a very top journal. The third is under 2nd round review of another top journal, Mathematics of Operations Research.
StatusFinished
Effective start/end date2019/08/012021/07/31

Keywords

  • Complementarity function
  • Data Science

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