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Preparation and electrochemical properties of LiFePO4/C composite with network structure for lithium ion batteries CHEN Han(陈 晗), YU Wen-zhi(于文志), HAN Shao-chang(韩绍昌), XU Zhong-yu(徐仲榆) College...; Abstract: The bare LiFePO4 and LiFePO4/C composites with network structure were prepared......
learning algorithms focus on network structures for learning. However, network structure is only one kind of view and feature for various networks, and it cannot fully reflect all characteristics... network representation learning methods consist of structure-based algorithms and joint learning-based algorithms. The structure-based network algorithms devote to learning the node’s representations......
J. Cent. South Univ. Technol. (2009) 16: 0332-0338 DOI: 10.1007/s11771-009-0056-9 Synchronous hybrid transport network design LI Xia-miao(李夏苗)1, ZENG Ming-hua(曾明华)1, FU Bai-bai(傅白白)2, ZHU Xiao...; Abstract: Delay, as an inevitable real-world phenomenon, is usually ignored in transport network design. A model of urban hybrid transport system with stochastic delay was created......
. Key words: distribution network planning; shortest path; ant colony algorithm; pheromone 1 Introduction The main task of distribution network planning is to optimize network structure, then to find... not be overloaded. To facilitate later wiring, each line reserves the margin of 50%. 3) Distribution network structure is radial. 4) Each line of network must be paved along city streets. During automatic......
, and the outputs are the model parameters. The optimal network structure is achieved by determining the numbers of hidden layers and network nodes. Secondly, the learning process of the DBN is implemented... neural network algorithm in MT inversion. DBN is one of the main deep learning (DL) [13] models, which contains multi-layer multi- perceptron machine learning structure. It shows unique advantages......
, Changsha 410083, China Received 22 September 2014; accepted 12 May 2015 Abstract: Effect of network structure on plasticity and fracture mode of Zr-Al-Ni-Cu bulk metallic glasses (BMGs) was investigated...-temperature uniaxial compression test. The results show that both plasticity and fracture mode are significantly affected by the network structure and the alteration occurs when the size of the network......
after strict deduction. 2 Network model and description of problem 2.1 Network models 1) Network structure model A typical model of wireless sensor network was employed in this work [1-3]. This kind...J. Cent. South Univ. (2012) 19: 453-458 DOI: 10.1007/s11771-012-1024-3 Node deployment strategy optimization for wireless sensor network with mobile base station LONG Jun(龙军), GUI Wei-hua(桂卫华) School......
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structure control ZHANG You-wang(张友旺)1, GUI Wei-hua(桂卫华)2 (1. School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China; 2. School of Information Science... of secondary uncertainty. At the same time, gain adaptive sliding mode variable structure control(GASMVSC) was employed to synthesize the control effort. The results show that the unrealization......
J. Cent. South Univ. (2016) 23: 869-879 DOI: 10.1007/s11771-016-3134-9 Dynamic rupture and crushing of an extruded tube using artificial neural network (ANN) approximation method Javad Marzbanrad1... method. The tube material is aluminum EN AW-7108 T6 and its length and diameter are 300 mm and 50 mm, respectively. Using the artificial neural network (ANN), the most important surfaces of energy......