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Identifying Tobacco Control Policy Drivers: A Neural Network Approach.
Xiaojiang Ding
Susan E. Bedingfield
Chung-Hsing Yeh
Ron Borland
David Young
Sonja Petrovic-Lazarevic
Ken Coghill
Published in:
ICONIP (2) (2009)
Keyphrases
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control policy
neural network
long run
approximate dynamic programming
control policies
reinforcement learning
admission control
back propagation
neural network model
pattern recognition
artificial neural networks
radial basis function
recurrent neural networks
batch mode
fault diagnosis
genetic algorithm
key factors
infinite horizon
neural network is trained
bp neural network
associative memory
feed forward
optimal policy
fuzzy logic
lower bound
objective function
machine learning