论文信息 - Hopfield Neural Network Modeling Method Based on Subset KPCA with FCMC Clustering

Hopfield Neural Network Modeling Method Based on Subset KPCA with FCMC Clustering

In order to improve the performance of nonlinear modeling, a Hopfield neural network modeling method based on Subset Kernel Principal Components Analysis (SubKPCA) with Fuzzy C-Means Clustering (FCMC) is proposed. The simulation result shows that, the performance of the proposed method is better than that of Hopfield neural network based on KPCA. It also is effective and feasible to establish the model for the estimation of missing flight data.

Xiao Yong Li | Xiang Jie Luo | Hong Qu | Yue Bo Meng

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