Research of Fuzzy Neural Network Model Based on Quantum Clustering

Fuzzy neural network can handle non-linear, complex data, but the structure of model determination is an important and difficult issues identified. More complete results can be made in a short period of time by the optimization network model. To address this issue, this paper presents the fusion of a quantum clustering algorithm and fuzzy c-means clustering algorithm, the fuzzy neural network structure is carried out at different levels data processing. Through the model of mining in complex industrial process, the validity of the model is tested.