A new intelligent prediction system model-the compound pyramid model  

作　　者：YANG BingRu QU Wu WANG LiJun ZHOU Ying 

机构地区：[1]School of Information Engineering,University of Science and Technology Beijing,Beijing 100083,China

出　　处：《Science China(Information Sciences)》2012年第3期723-736,共14页中国科学（信息科学）（英文版）

基　　金：support of National Nature Science Foundation of China (Grant No. 60675030, 60875029,61175048);Beijing Key Discipline Development Program (Grant No. XK100080537);Beijing Key Disciplin Development Program-Computer Architecture

摘　　要：A current development trend in research on intelligent systems is to optimize a general intelligent prediction system into an individuation intelligent prediction system that is applied in specialized fields. Protein structure prediction is a challenging international issue. In this paper, we propose a new intelligent prediction system model, designed as a multi-layer compound pyramid model, for predicting secondary protein structure. The model comprises four independent intelligent interfaces and several knowledge discovery methods. The model penetrates throughout the domain knowledge, with the effective attributes chosen by Causal Cellular Automata. Furthermore, a high pure structure database is constructed for training. On the RS126 dataset, the overall state per-residue accuracy, Q3, reached 83.99%, while on the CB513 dataset, Q3 reached 85.58%. Meanwhile, on the CASP8 sequences, the results are superior to those produced by other methods, such as Psipred, Jpred, APSSP2 and BehairPred. These results confirm that our method has a strong generalization ability, and that it provides a model for the construction of other intelligent systems.

关 键 词：knowledge discovery intelligent prediction system model compound pyramid model 

分 类 号：TP11[自动化与计算机技术—控制理论与控制工程] TH132.44[自动化与计算机技术—控制科学与工程]