Applications of fuzzy logic and artificial neural network for solving real world problem

Most of the neural networks in initial stage of enthusiasm, the field survived a period of frustration and disrepute. The reason for this is previous neuron doesn´t do anything that conventional computers don´t do already. Moreover they are observed to be too complex when noticed by humans as well as computers. Moreover we are furiously rising in fourth generation to increase the neural network standard in neurology and psychology. They are regularly used to model parts of living organisms and to investigate the internal mechanisms of the brain. At present the most exsisting aspect of neural networks is the possibility that some day `conscious´ networks might be produced. Fuzzy logic and Neural network provide new method for desining control system and fuzzy logic and Neural networks can start with an approximate control knowledge base and refine it through inforcement learning.