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137 results on '"Wu, Hung-Chun"'

2. Multi-Labelled Value Networks for Computer Go

Author

Wu, Ti-Rong, Wu, I-Chen, Chen, Guan-Wun, Wei, Ting-han, Lai, Tung-Yi, Wu, Hung-Chun, and Lan, Li-Cheng

Subjects
Computer Science - Artificial Intelligence, Computer Science - Learning
Abstract

This paper proposes a new approach to a novel value network architecture for the game Go, called a multi-labelled (ML) value network. In the ML value network, different values (win rates) are trained simultaneously for different settings of komi, a compensation given to balance the initiative of playing first. The ML value network has three advantages, (a) it outputs values for different komi, (b) it supports dynamic komi, and (c) it lowers the mean squared error (MSE). This paper also proposes a new dynamic komi method to improve game-playing strength. This paper also performs experiments to demonstrate the merits of the architecture. First, the MSE of the ML value network is generally lower than the value network alone. Second, the program based on the ML value network wins by a rate of 67.6% against the program based on the value network alone. Third, the program with the proposed dynamic komi method significantly improves the playing strength over the baseline that does not use dynamic komi, especially for handicap games. To our knowledge, up to date, no handicap games have been played openly by programs using value networks. This paper provides these programs with a useful approach to playing handicap games., Comment: This version was also submitted to IEEE TCIAIG on May 30, 2017

Published
2017

26. XPS study on the STOBA coverage on Li(Ni0.4Co0.2Mn0.4)O2 oxide in pristine electrodes.

Author

Chang, Li‐Shin, Wu, Hung‐Chun, Lin, Yi‐Chun, Su, Ching‐Yi, and Pan, Jing‐Pin

Subjects
*NICKEL compounds, *X-ray photoelectron spectroscopy, *CHEMICAL bonds, *OLIGOMERS, *LITHIUM-ion batteries, *ELECTRODES
Abstract

The additive of self-terminated oligomers with hyper-branched architecture (STOBA) in Li(Ni0.4Co0.2Mn0.4)O2 (LNCM) cathodes of lithium ion batteries improves the battery stability and capacity. In this study, the surface chemistry of pristine LNCM electrodes with and without the STOBA additive was analyzed by means of X-ray photoelectron spectroscopy and the surface morphology was observed by scanning electron microscopy. It was found that STOBA covers LNCM particles uniformly and the formation of chemical bonding between nitrogen atoms in STOBA and metallic atoms in LNCM was discovered. This bonding may cause the uniform coverage of STOBA on LNCM. The formation of STOBA layer on LNCM improves the coverage of the binder poly(vinylidene fluoride) and inhibits the formation of LiF. [ABSTRACT FROM AUTHOR]

Published
2017
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