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JDCTA
2010
155views more  JDCTA 2010»
15 years 27 days ago
Multi-factor predication of diesel engine by using artificial neural networks
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
Wenyong Xiao
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
15 years 11 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
144
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ATAL
2008
Springer
15 years 8 months ago
Non-linear dynamics in multiagent reinforcement learning algorithms
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Only a subset of these MARL algorithms both do not require agent...
Sherief Abdallah, Victor R. Lesser
ICCS
2004
Springer
15 years 11 months ago
A Fast Multifrontal Solver for Non-linear Multi-physics Problems
The paper presents a highly optimized implementation of a multifrontal solver for linear systems arising in the FEM simulation of multi-physics problems related to the behaviour of...
Alberto Bertoldo, Mauro Bianco, Geppino Pucci
CDC
2008
IEEE
150views Control Systems» more  CDC 2008»
16 years 17 days ago
Riccati conditioning and sensitivity for a MinMax controlled cable-mass system
— In this paper we study the relationship between the parameter θ, used in the design of the MinMax controller, and the conditioning of the approximate algebraic Riccati equatio...
Lizette Zietsman, Katie A. Evans, J. Teye Brown, R...