摘要
介绍了神经网络的两种简单模型:感知器和线性分类器,并应用感知器模型对DNA序列分类问题进行求解和结果分析,并提出了对感知器模型求解分类问题的一种改进方法。
This paper introduces two simple models of neural networks.Perceptron and linear classier and the former are applied to the solution and result analysis of DNA sequence.The paper also presents an improved approach of the solution to the classification problem by means of perception model.
出处
《赣南师范学院学报》
2004年第3期52-54,共3页
Journal of Gannan Teachers' College(Social Science(2))
关键词
人工神经网络
感知器
线性分类器
学习规则
artificial neural network
perceptron
linear classier
learning rule
