Use of neural fuzzy networks with mixed genetic/gradient algorithmin automated vehicle control
Sunan Huang; Wei Ren
Industrial Electronics, IEEE Transactions on
Volume 46, Issue 6, Dec 1999 Page(s):1090 - 1102
Digital Object Identifier   10.1109/41.807993
Summary:This paper is concerned with the design of automated vehicle guidance control. First, we propose to implement the guidance tasks using several individual controllers. Next, a neural fuzzy network (NFN) is used to build these controllers, where the NFN constructs are neural-network-based connectionist models. A two-phase hybrid learning algorithm which combines genetic and gradient algorithms is employed to identify the NFN weightings. Finally, simulations are given to show that the proposed technology can improve the speed of learning convergence and enhance the performance of vehicle control

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