摘要
由于人工神经网络在符号处理、并行搜索、自组织联想记忆等方面有独特的优势,因此成为人工智能研究的热点。目前,人工神经网络模型形式多样,为了能够清晰地了解人工神经网络,就两种比较流行的神经网络:BP与RBF进行了介绍,研究了这两种人工神经网络的结构算法,并且对它们的结构算法以及性能进行了比较。
Due to the artificial neural network in the symbol processing,parallel search,self-organization associative memory is the special advantage,therefore become a hot spot in the study of artificial intelligence.At present,the artificial neural network model in a variety of forms,In order to be able to clear understanding of artificial neural network,In this paper two popular neural network,BP and RBF are introduced,The paper presents the research results of two kinds of artificial neural network structure algorithm,And their structure and algorithm performance to carry on the comparison.
出处
《电脑开发与应用》
2013年第1期16-18,21,共4页
Computer Development & Applications
关键词
人工神经网络
BP
RBF
artificial neural network（ANN）
BP
RBF
