A method of pattern recognition based upon synthetic technology of fuzzy logic and neural network
Yong Hui Chen, Sheng Minghao, Yongbao He · 2002
A method which uses the synthesis of fuzzy logic and neural networks is provided to solve 2D pattern recognition with incomplete information. When the object set is confirmed, we use a neural network detector to discover the edges and corners. After we have obtained that information, we get the conclusion from the fuzzy reasoning. Computer simulation shows that, although there remain a lot of improvements to make, the synthetic method of using neural networks and fuzzy logic is effective to solve such problems dealing with partially invisible objects. The method can be introduced to solve similar pattern recognition problems in 3D images.>