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Truck backing up neural network controller optimized by genetic algorithms | IEEE Conference Publication | IEEE Xplore

Truck backing up neural network controller optimized by genetic algorithms


Abstract:

Jenkins-Yuhas network has been applied successfully to solve the trailer-truck backing up problem. Genetic algorithms (GA) is used to train the Jenkins-Yuhas network cont...Show More

Abstract:

Jenkins-Yuhas network has been applied successfully to solve the trailer-truck backing up problem. Genetic algorithms (GA) is used to train the Jenkins-Yuhas network controller. The integration of genetic algorithms and neural networks training avoids complicated formulation of derivative function that required in conventional error back propagation techniques (gradient descent). In addition, it can avoid trapping in local minimum point. The performance of GA trained neural network controller is evaluated via simulation studies. It has been demonstrated that the controller can successfully control trailer-truck for different initial parking conditions, i.e. with same set of trained weights, to the loading dock.
Date of Conference: 08-12 December 2003
Date Added to IEEE Xplore: 24 May 2004
Print ISBN:0-7803-7804-0
Conference Location: Canberra, ACT, Australia

References

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