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» Higher order models for fuzzy random variables
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WSC
2007
13 years 10 months ago
Using empirical demand data and common random numbers in an agent-based simulation of a distribution network
Agent-based simulation provides a methodology to investigate complex systems behavior, such as supply chains, while incorporating many empirical elements relative to both systems ...
William J. Sawaya
ICCD
2006
IEEE
157views Hardware» more  ICCD 2006»
14 years 4 months ago
Statistical Analysis of Power Grid Networks Considering Lognormal Leakage Current Variations with Spatial Correlation
— As the technology scales into 90nm and below, process-induced variations become more pronounced. In this paper, we propose an efficient stochastic method for analyzing the vol...
Ning Mi, Jeffrey Fan, Sheldon X.-D. Tan
CORR
1999
Springer
98views Education» more  CORR 1999»
13 years 7 months ago
A variational description of the ground state structure in random satisfiability problems
A variational approach to finite connectivity spin-glass-like models is developed and applied to describe the structure of optimal solutions in random satisfiability problems. Our ...
Giulio Biroli, Rémi Monasson, Martin Weigt
IROS
2007
IEEE
148views Robotics» more  IROS 2007»
14 years 2 months ago
Tractable probabilistic models for intention recognition based on expert knowledge
— Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayes...
Oliver C. Schrempf, David Albrecht, Uwe D. Hanebec...
CSREAESA
2004
13 years 9 months ago
CMOS Implementation of Phase-Encoded Complex-Valued Artificial Neural Networks
- The model of a simple perceptron using phase-encoded inputs and complex-valued weights is presented. Multilayer two-input and three-input complex-valued neurons (CVNs) are implem...
Howard E. Michel, David Rancour, Sushanth Iringent...