An Artificial Neural Network Classification Model based on DNA Computing

摘要：

　　In this paper,artificial neural network is used to establish an unified model of DNA computing to solve their classification.The main feature of this model is that the idea it uses is parallel logic completely different from traditional computer neural network,that is,for the traditional neural network model,the weights between neurons and neurons are ultimately stable by continuously adjusting,and the adjustment process is a serial,and in the parallel DNA computing model,the weights are determined by finding a set of weights from all possible ones that are suited to all samples.This greatly accelerates the speed of calculation,and the analysis shows that our proposed parallel neural network model is superior to the traditional serial processing.

关键词： DNA Computing Artificial neural network Classification Model

作者: Wenke Zang Xiyu Liu Wei Bi

作者单位: College of Management Science and Engineering,Shandong Normal University,Jinan,China

会议类型: 国际会议

会议名称: The 9th International Conference on Pervasive Computing and Application(ICPCA 2014)(第九届全国普适计算学术会议、第九届全国人机交互联合学术会议)

会议地点: 南昌

会议语种:英文

页码: 1-11

在线出版日期: 2013-09-26（万方平台首次上网日期，不代表论文的发表时间）