搜索结果: 1-13 共查到“物理学 Neural networks”相关记录13条 . 查询时间(0.384 秒)
Two-Photon Exchange Effect Studied with Neural Networks
proton form-factors two-photon exchange correction
2011/7/21
The novel approach to the extraction of the two-photon exchange (TPE) correction from the elastic $ep$ scattering data is presented. The Bayesian framework for the neural networks is adapted.
A nonextensive method for spectroscopic data analysis with artificial neural networks
Nonextensive statistical mechanics Neural networks Pattern classification Spectroscopy
2010/7/5
In this paper we apply an evolving stochastic method to construct simple and effective Artificial Neural Networks, based on the theory of Tsallis statistical mechanics. Our aim is to establish an auto...
Nonlinear Time Series Prediction
Using Chaotic Neural Networks
neural network chaotic dynamics forecasting nonlinear time series
2007/8/15
2001Vol.35No.6pp.759-762DOI:
Nonlinear Time Series Prediction
Using Chaotic Neural Networks
LI Ke-Ping and CHEN Tian-Lun
Department of Physics, Nankai University, Tianji...
A Note on “Global Exponential Convergence Analysis of Hopfield Neural Networks with Continuously
Distributed Delays”
Hopfield neural networks distributed delays equilibrium point globally exponential stability
2007/8/15
2007Vol.47No.6pp.1143-1144DOI:
A Note on “Global Exponential Convergence Analysis of Hopfield Neural Networks with Continuously
Distributed Delays”
CHANG Da-Wei
Facu...
Phase Space Prediction Model Using Neural Networks
chaotic time series neural network
exponential divergence
2007/8/15
2002Vol.38No.3pp.313-316DOI:
Phase Space Prediction Model Using Neural Networks
LI Ke-Ping1,2 and CHEN Tian-Lun2
1 Institute of System Science, Northern Jiaotong
Univer...
Effects of Interactive Function Forms in a Self-Organized Critical
Model Based on Neural Networks
self-organized criticality avalanche neuron networks
2007/8/15
2003Vol.40No.5pp.607-613DOI:
Effects of Interactive Function Forms in a Self-Organized Critical
Model Based on Neural Networks
ZHAO Xiao-Wei, ZHOU Li-Ming, and CHEN Tian-Lun
...
Nonlinear Time Series Forecast Using Radial Basis Function Neural Networks
neural network nonlinear time series
clustering
2007/8/15
2003Vol.40No.2pp.165-168DOI:
Nonlinear Time Series Forecast Using Radial Basis Function Neural Networks
ZHENG Xin and CHEN Tian-Lun
Institute of Physics, Nankai Universi...
Different Avalanche Behaviors in Different Specific Areas of a
System Based on Neural Networks
self-organized criticality avalanche neuron networks
2007/8/15
2003Vol.40No.3pp.363-368DOI:
Different Avalanche Behaviors in Different Specific Areas of a
System Based on Neural Networks
ZHAO Xiao-Wei and CHEN Tian-Lun
Department o...
Global Exponential Convergence Analysis of Hopfield Neural
Networks with Continuously Distributed Delays
Hopfield neural networks distributed delays global
exponential stability
2007/8/15
2003Vol.39No.3pp.381-384DOI:
Global Exponential Convergence Analysis of Hopfield Neural
Networks with Continuously Distributed Delays
ZHANG Qiang,1 MA Run-Nian,1 and XU Jin2
...
Effects of Some Neurobiological Factors in a Self-organized
Critical Model Based on Neural Networks
self-organized criticality neuron network time-delayed relative refractory period
2007/8/15
2005Vol.44No.1pp.155-159DOI:
Effects of Some Neurobiological Factors in a Self-organized
Critical Model Based on Neural Networks
ZHOU Li-Ming, ZHANG Ying-Yue, and CHEN Tian-Lun
...
Effects of Interactive Function Forms and Refractoryperiod in a
Self-Organized Critical Model Based on Neural Networks
self-organized criticality avalanche neuron networks refractoryperiod
2007/8/15
2004Vol.42No.1pp.121-125DOI:
Effects of Interactive Function Forms and Refractoryperiod in a
Self-Organized Critical Model Based on Neural Networks
ZHOU Li-Ming and CHEN Tian-Lun
...
The Riemann Zeta Function Applied on Glassy Systems and Neural Networks
Glassy systems Zeta function neural network topology
2010/4/12
Glassy systems and Neural networks share a simple model of study: the model of a set of N non interacting harmonic oscillators with energy. In this paper the author tries to describe these complex sys...
Statistical Physics, Neural Networks, Brain Studies
Statistical Physics Neural Networks Brain Studies
2010/4/16
An overview of some aspects of a vast domain, located at the crossroads of physics, biology and computer science is presented: 1) During the last fifteen years, physicists advancing along various path...