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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Dynamic Learning and Modelling of Nonlinear Spatio-Temporal Network Data: theory with an application to the EU energy markets
非线性 时空网络数据 动态学习 建模
2023/4/28
Nonlinear modelling of dynamic spatio-temporal network data is often a challenge with various issues, in particular due to irregularly observed locations and location-wide non-stationarity. In this pa...
Distributed Linear Precoder Optimization and Base Station Selection for an Uplink Heterogeneous Network
Distributed Linear Precoder Optimization Base Station Selection Uplink Heterogeneous Network Information Theory
2012/5/9
In a heterogeneous wireless cellular network, each user may be covered by multiple access points such as macro/pico/relay/femto base stations (BS). An effective approach to maximize the sum utility (e...
An Achievable Region for a General Multi-terminal Network and its Chain Graph Representation
General Multi-terminal Network Achievable Region Information Theory
2011/9/19
Abstract: Random coding, along with various standard techniques such as coded time-sharing, superposition coding, ratesplitting and binning, are traditionally used in obtaining achievable rate regions...
Abstract: We describe a novel extension of subspace codes for noncoherent networks, suitable for use when the network is viewed as a communication system that introduces both dimension and symbol erro...
We describe an example of a structurally stable heteroclinic network for which nearby orbits exhibit irregular but sustained switching between the various sub-cycles in the network. The mechanism for ...
A Taguchi and Neural Network Based Electric Load Demand Forecaster
artificial neural network very-short-term electric demand forecasting
2009/9/25
In this paper, we present Taguchi’s and rolling modeling methods of artificial neural network (ANN) for very-short-term electric demand forecasting (VSTEDF) from the consumers’ viewpoint. The rolling ...
Hybrid Neural Network-Based Fault Diagnosis and Fault-Tolerance Design with Application in Electro-Hydraulic Servovalve
Artificial Neural Network Hybrid Neural Network Electro-Hydraulic Servovalve
2009/9/25
In this study, to cope with the needs of the predictive maintenance for complex systems, a hybrid dynamic Artificial Neural Network (ANN) based fault and degradation diagnosis and tolerance method i...
Improved Fluid-Model of TCP/AQM Network for Congestion Control
Fluid-Model Congestion Control TCP/AQM Network
2009/9/24
In this paper, recently proposed active queue management (AQM) algorithms for supporting end-to-end trans-
mission control protocol (TCP) congestion control is revisited. We focus recently devel...
THE HOPF BIFURCATION DIRECTION OF A FOUR DIMENSIONAL ELECTRONIC NEURAL NETWORK SYSTEM
Hopf bifurcation condition bifurcation
2007/12/10
摘要 In this paper we give an applicable parameter formula about the bifurcationand stability of periodic solution for a four-dimensional differential system. By using thisresult in a simple electronic ...
QUEUEING NETWORK MODELING AND ANALYSIS IN THE DESIGN AND EVALUATION OF SEAPORT SYSTEMS
Port system networks of queues blocki
2007/12/10
摘要 In this paper we apply networks of queues in the design and analysis of aseaport system. There are two types of ports, the deep water port and shallow waterport. The steamships arrive via the Pacif...
Self-organized Criticality in a Model Based on Neural Network
neuron network self-organized criticality avalanche
2007/8/15
2001Vol.36No.3pp.351-356DOI:
Self-organized Criticality in a Model Based on Neural Network
ZHAO Xiao-Wei and CHEN Tian-Lun
Department of Physics, Nankai University, Tia...
A New Routing Algorithm for the Shuffle-Exchange Permutation Network
Cayley graph fixed degree routing shuffle-exchange permutation network
2007/8/7
In this paper, a new routing algorithm is given for the shuffle-exchange permutation network (SEPn ). The length of the path between any two nodes given by our algorithm is not more than (11/16)n2+O(n...
NEURAL NETWORK MODELS FOR DESIGN OF BLOCK CIPHER SYSTEM
Block cipher system Hopfield neural net
2007/8/7
In this paper, a class of block cipher systems having asymptotically perfect secrecy is constructed by using the neural network models modified from the Hopfield model.
Robust neural-network compensating control for robot manipulator based on computed torque control,
2007/7/28
期刊信息
篇名
Robust neural-network compensating control for robot manipulator based on computed torque control,
语种
英文
撰写或编译
作者
白萍,方廷健,葛运建
第一作者单位
刊物名称
控制理论与应用,
页面
Vol.18 No.6, P897-901, 2001.12
出版日期
2001年
1...
期刊信息
篇名
An extended CC4 neural network based document classification approach
语种
英文
撰写或编译
作者
陈恩红,张振亚等
第一作者单位
刊物名称
软件学报
页面
13(5). 871-878, 2002.5
出版日期
2002年
5月
日
文章标识(ISSN)
相关项目
半结构化数据中模式发现及变化检测问题研究