A recurrent neural network for solving the shortest path problem

1996 ◽  
Vol 43 (6) ◽  
pp. 482-486 ◽  
Author(s):  
J. Wang
Keyword(s):  
Neural Network ◽  
Shortest Path ◽  
Recurrent Neural Network ◽  
Shortest Path Problem

scholarly journals Two-degree-of-freedom manipulator path planning based on zeroing neural network

2020 ◽  
Vol 309 ◽  
pp. 04005
Author(s):  
Yan Li ◽  
Keping Liu
Keyword(s):  
Neural Network ◽  
Path Planning ◽  
Shortest Path ◽  
Lyapunov Method ◽  
Optimal Path ◽  
Shortest Path Problem ◽  
Optimal Planning ◽  
Optimal Path Planning ◽  
The Stability ◽  
Two Degree Of Freedom

In this paper, the shortest path problem of manipulator path planning is transformed into a linear programming problem, and solved by zeroing neural network (ZNN). Firstly, the method of constructing the zeroing neural dynamics is given, and the ZNN model is constructed for shortest path problem of manipulator. Then, the Lyapunov method is utilized to prove the stability of the ZNN model. Finally, the ZNN model is applied to the path planning of manipulator to generate an optimal planning path. The simulation results show that the proposed method can effectively realize the optimal path planning of the manipulator.

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