Method for constructing brain functional networks based on fMRI data
一种基于fMRI数据的脑功能网络构建方法*

This paper proposed a new knowledge discovery and representation model for fishery, which took three steps. Firstly, it extracted static knowledge from database by SVM (support vector machine) and fuzzy classifier. Secondly, it used extension data mining method to transfer static knowledge into dynamic knowledge. Thirdly, it established an ontology knowledge base by utilizing a mapping mechanism between the dynamic knowledge and ontology. Using the proposed model building procedure, implemented a prototype system for fishery forecasting. Experimental results show that the proposed method is effective and efficient.