An Incremental Design of Radial Basis Function Networks.

IEEE Transactions on Neural Networks and Learning Systems(2014)

引用 137|浏览16
暂无评分
摘要
This paper proposes an offline algorithm for incrementally constructing and training radial basis function (RBF) networks. In each iteration of the error correction (ErrCor) algorithm, one RBF unit is added to fit and then eliminate the highest peak (or lowest valley) in the error surface. This process is repeated until a desired error level is reached. Experimental results on real world data sets...
更多
查看译文
关键词
Training,Radial basis function networks,Algorithm design and analysis,Testing,Approximation algorithms,Computer architecture,Jacobian matrices
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要