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» Univariate input models for stochastic simulation
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JCNS
2002
72views more  JCNS 2002»
13 years 7 months ago
Noise and the PSTH Response to Current Transients: II. Integrate-and-Fire Model with Slow Recovery and Application to Motoneuron
A generalized version of the integrate-and-fire model is presented that qualitatively reproduces firing rates and membrane trajectories of motoneurons. The description is based on ...
Alix Herrmann, Wulfram Gerstner
SOPR
2002
106views more  SOPR 2002»
13 years 7 months ago
A discrete simulation model for assessing software project scheduling policies
Good project scheduling is an essential, but extremely hard task in software management practice. In a software project, the time needed to complete some development activity is d...
Frank Padberg
ICMCS
2008
IEEE
118views Multimedia» more  ICMCS 2008»
14 years 1 months ago
A stochastic model of selective visual attention with a dynamic Bayesian network
Recent studies in signal detection theory suggest that the human responses to the stimuli on a visual display are nondeterministic. People may attend to different locations on the...
Derek Pang, Akisato Kimura, Tatsuto Takeuchi, Junj...
WSC
1998
13 years 8 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
CSSE
2008
IEEE
14 years 1 months ago
Stochastic Gradient Algorithm for Multi-input Systems Based on the Auxiliary Model
—This paper presents an auxiliary model based stochastic gradient parameter estimation algorithm for multiinput output-error systems by minimizing a quadratic cost function. The ...
Yuwu Liao, Xianfang Wang, Rui Feng Ding