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基于改进BP神经网络预测蛋白质二级结构
引用本文:马栋萍,阮晓钢.基于改进BP神经网络预测蛋白质二级结构[J].北京联合大学学报(自然科学版),2005,19(2):70-73,81.
作者姓名:马栋萍  阮晓钢
作者单位:1. 北京工业大学,电子信息与控制工程学院,北京,100022;北京联合大学,生化学院,北京,100023
2. 北京工业大学,电子信息与控制工程学院,北京,100022
摘    要:蛋白质结构预测在生物信息学研究中占有重要地位,而蛋白质二级结构预测是蛋白质结构预测的关键步骤。针对标准BP算法存在的缺点,讨论采用几种不同的改进BP神经网络来实现蛋白质二级结构的预测,运用MATLAB语言实现各种改进算法的初始化和训练。并分析比较了它们对蛋白质二级结构预测精度的影响。实验表明,遗传算法结合动量法与学习率自适应调整策略的BP算法可获得较高的预测精度。

关 键 词:蛋白质二级结构  改进BP神经网络  遗传算法  预测精度
文章编号:1005-0310(2005)02-0070-04

Prediction Protein Secondary Structure by Improved BP Neural Network
MA Dong-ping,RUAN Xiao-gang.Prediction Protein Secondary Structure by Improved BP Neural Network[J].Journal of Beijing Union University,2005,19(2):70-73,81.
Authors:MA Dong-ping  RUAN Xiao-gang
Abstract:Predicting protein structure plays an important role in bioinformatics. In this process the pivotal step is predicting from protein sequence to secondary structure. Considering the disadvantages of standard BP arithmetic, it introduces several improved BP neural networks to predict protein secondary structure, which apply MATLAB to initialize BP neural networks, and analyses the precisions of prediction. The experiment has proved that a high precision can be achieved by the improved BP network which combines genetic algorithm with method of momentum and strategy that is adopted for adjusting learning efficiency.
Keywords:MATLAB
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