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- W2356028397 abstract "The problems of learning and evolutionary ability of robots to adapt to dynamic environments are discussed.A robot control algorithm with neural network training is formed by combining BP algorithm and genetic algorithm,according to the advantage of the globe optimal searching of genetic algorithm,in order to overcome the shortcomings that BP algorithm is usually trapped to a local optimum and has a low convergence speed.This algorithm can effectively and reliably be used in the robot control.The simulation results show that the algorithm has the advantages of time series prediction capability and can also effectively be used in other fields." @default.
- W2356028397 created "2016-06-24" @default.
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- W2356028397 date "2009-01-01" @default.
- W2356028397 modified "2023-09-28" @default.
- W2356028397 title "Application of GA-BP Algorithm to Robot Ground Control" @default.
- W2356028397 hasPublicationYear "2009" @default.
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