Control of Complex Systems Using Bayesian Networks and Genetic Algorithm

Details Control of Complex Systems Using Bayesian Networks and Genetic Algorithm Control of Complex Systems Using Bayesian Networks and Genetic Algorithm

2007-05-09

arxiv.org/abs/0705.1214v1

Computer Science

Computational Engineering, Finance, and Science

6 pages

Scientific paper

A method based on Bayesian neural networks and genetic algorithm is proposed to control the fermentation process. The relationship between input and output variables is modelled using Bayesian neural network that is trained using hybrid Monte Carlo method. A feedback loop based on genetic algorithm is used to change input variables so that the output variables are as close to the desired target as possible without the loss of confidence level on the prediction that the neural network gives. The proposed procedure is found to reduce the distance between the desired target and measured outputs significantly.

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