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» Nonlinear hybrid system identification with kernel models
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EOR
2008
116views more  EOR 2008»
14 years 11 months ago
A hybrid neuro-fuzzy analytical approach to mode choice of global logistics management
This paper presents a hybrid neuro-fuzzy methodology to identify appropriate global logistics (GL) operational modes used for global supply chain management. The proposed methodol...
Jiuh-Biing Sheu
ICAC
2006
IEEE
15 years 5 months ago
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mo...
ENGL
2008
153views more  ENGL 2008»
14 years 11 months ago
Neural Network NARMA Control of a Gyroscopic Inverted Pendulum
The objective herein is to demonstrate the feasibility of a real-time digital control of an inverted pendulum for modeling and control, with emphasis on nonlinear auto regressive m...
F. Chetouane, S. Darenfed
ICECCS
1998
IEEE
110views Hardware» more  ICECCS 1998»
15 years 4 months ago
Risk Assessment and Integrity in System Design
All systems, regardless of how carefully they have been constructed, suffer failures. This paper focuses on developing a formal understanding of failure with respect to system imp...
Raymond Berg, Victor L. Winter
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 3 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule