Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Wan-qing Gao"'
Autor:
Wen-fu Xu, Ping Yang, Zhi-wen Wei, Jin-sheng Liu, Ren-lin Yan, Qian Chen, Ren-xiang Tong, Shuang-yun Xu, Wan-qing Gao, Wen Zhang, Zhen-zhen Chang, Pei-lin Wang, Hong-juan Fang, Yun-yun Zheng, Tao Wang, Na-na Liu, Chao Yao, Yan-li Liu, Wei Xia, Wei Zhao, Zhu-jun Wang
Publikováno v:
Current Medical Science. 43:255-260
Autor:
Run-Guo Wang, Yin-Shan Meng, Chun-Hua Liu, Anyang Li, Wan-Qing Gao, Fang-Fang Gao, Tao Liu, Yuan-Yuan Zhu
Publikováno v:
Dalton Transactions. 50:3369-3378
The understanding of the correlation between the spin-state behaviour and the structural features in transition-metal complexes is of pronounced importance to the design of spin crossover compounds with high performance. However, the study of the inf
Publikováno v:
Inorganic Chemistry. 59:7398-7407
The development of new spin-crossover complexes provides novel promising switching materials with significant potential at the molecular level. Ter-imine-type molecules represent one of the important classes of ligands in creating SCO-active complexe
Publikováno v:
Tetrahedron. 75:3809-3814
Two types of optical active metallo-supramolecular polymers were successfully constructed from the complexation of two enantiopure bis-pyridine-dioxazole (bis-pybox) ligands and 3d transition metal ions such as Zn2+ and Fe2+ in organic solution. The
Publikováno v:
Dalton Transactions. 48:6323-6327
Spin crossover and structural phase transition in three pairs of homochiral and heterochiral [Fe(pybox)2]2+ diastereomers were investigated through magnetic and crystallographic studies. Herein, we show that the spin transition properties of these co
Publikováno v:
Chinese Journal of Chemistry. 35:447-456
Publikováno v:
IIH-MSP
For its sensitive dependence with the initial value, chaos can be used to the pattern recognition of the ones with extremely small difference. An algorithm based on chaotic fuzzy RBF neural network (CFRBF) is proposed and used for face recognition. F
Publikováno v:
IIH-MSP
Distributed chaotic fuzzy RBF neural networks is described in the paper against the problems of slow convergence and easy trapping into local minimum of BP neural networks. For introducing chaotic noise to choose the initial value of the network, it
Publikováno v:
2008 International Conference on Intelligent Information Hiding & Multimedia Signal Processing; 2008, p905-908, 4p