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- W2369876543 abstract "By using the methods of subtraction clustering and adaptive fuzzy neural network,a sort of motion planner for the underwater vehicle was designed.According to the characters of the input and the output,by using the methods of subtraction clustering,the fuzzy system's initial structure and parameters were determined adaptively.It was put forward that fuzzy nerve system parameter was resolved into the nonlinear premise parameter and linear conclusion parameter and recognized separately.By adopting the gradient descent algorithm and least square method respectively,the front and back parameters of the adapted fuzzy reasoning system were optimized,and the study efficiency of the parameters was raised.The simulation results indicate that the planning of adaptive fuzzy neural network motion planner is better than that of the fuzzy control in the same simulation environment." @default.
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- W2369876543 date "2007-01-01" @default.
- W2369876543 modified "2023-09-28" @default.
- W2369876543 title "Design of Motion Planner Based on Subtraction Clustering and Adaptive Fuzzy Neural Network" @default.
- W2369876543 hasPublicationYear "2007" @default.
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