scholarly journals Automatic generation of fuzzy neural networks via reinforcement learning with applications in path planning of mobile robots

2007 ◽  
Author(s):  
Yi Zhou
Keyword(s):  
Neural Networks ◽  
Reinforcement Learning ◽  
Path Planning ◽  
Mobile Robots ◽  
Automatic Generation ◽  
Fuzzy Neural Networks ◽  
Fuzzy Neural

scholarly journals Robotic Path Planning and Fuzzy Neural Networks

2020 ◽  
Vol 17 (4A) ◽  
pp. 615-620
Author(s):  
Nada Mirza
Keyword(s):  
Neural Networks ◽  
Fuzzy Logic ◽  
Path Planning ◽  
Dynamic Environment ◽  
Fuzzy Neural Networks ◽  
Hybrid Techniques ◽  
Adaptive Capabilities ◽  
Fuzzy Neural ◽  
Neural Network System ◽  
Robust Processing

Fuzzy logic has gained excessive attention due to its capacity of handling the data in a much simpler way. It is applied to decrease the intricacy of already existed solutions and to provide the solution of new problems also. On the other hand, neural networks are distinct because of their robust processing and adaptive capabilities in dynamic environment. This paper mainly reviews the primary ideas and contribution of neural network system and fuzzy logic in the field of robotic path planning. Several hybrid techniques, which are being utilized in bringing dream of mobile robots to reality are discussed

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