Fuzzy Neural Network เป็นการประยุกต

Fuzzy Neural Network's application. Combine method of artificial neural network and fas c together, you can take advantage. Fuzzy rule node if-then there are a lot of very complex systems (paranya,2011) even though the Fuzzy Neural Network implementation can help systems can have a learning process in itself and the structure of the system can interpret and give a reason, but the artificial neural network model fas-Sy.

The application of Fuzzy Neural Network The method combines neural networks and fuzzy together can bring many advantages. Each solution had to support each other and reduce the limitations of each method, in which the problem of identification information input gives the number of nodes of the Fuzzy if-then a large number of systems are very complex (paranya,. 2011), although the introduction of Fuzzy Neural Network to allow the system to a learning process in itself. And the structure of the system can interpret and make sense of. The fuzzy neural network. It has happened a number of nodes, resulting in delays and search for the word with multiple meanings more difficult.

Fuzzy Neural Network is applied. The method combines the artificial neural networks and fuzzy together make the advantages.The nodes of the rules Fuzzy if-then is large, the system is very complex, (paranya2011) although the Fuzzy Neural Network can help the system can have the learning process in itself. And the structure of the system can interpret and give reasons. But the artificial neural network fuzzy logic.