Research on Novel Pattern Recognition and Classification Algorithm Based on Fuzzy Clustering and Neural Network

With the progress of computer technology, data mining has become a focus in the field of database research. Traditional data classification problem assumes that the data sample is independent identically distributed, mainly according to the data's own properties, applications of machine learning methods, by tagging samples training various classifier to classify data. In this paper, we combine the characteristics of neural network and fuzzy clustering to conduct the theoretic analysis of the pattern recognition algorithm, the experimental result shows the effectiveness of the combined approach, we decide to do more simulation in the future research.