Neural Network Based on GA-BP Algorithm and its Application in the Protein Secondary Structure Prediction
YANG Yang
LI Kai-yang
摘要：The advantages and disadvantages of genetic algorithm and BP algorithm are introduced. A neural network based on GA-BP algorithm is proposed and applied in the prediction of protein secondary structure, which combines the advantages of BP and GA. The prediction and training on the neural network are made respectively based on 4 structure classifications of protein so as to get higher rate of predication-the highest prediction rate 75.65%, the average prediction rate 65.04%.
机标关键词：neural networkadvantages and disadvantagesBP algorithmsecondary structuregenetic algorithm
分类号：R3(基础医学)
论文发表日期：2006-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：9( 1-9 )
英文信息