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A New Learning Algorithm Based on Radial Basis Function Neural Network--Recursive Orthogonal Least Squares (ROLS) Algorithm
引用本文:ZHANG Xing lan,CAO Chang xiu,MEI Bin. A New Learning Algorithm Based on Radial Basis Function Neural Network--Recursive Orthogonal Least Squares (ROLS) Algorithm[J]. 保鲜与加工, 2002, 0(10): 56-60
作者姓名:ZHANG Xing lan  CAO Chang xiu  MEI Bin
摘    要:The Recursive Orthogonal Least Squares (ROLS) algorithm is applied to train Radial Basis Function Neural Network (RBFNN) when modeling, so as to save large memory and computational efforts. Using the information available from the trained network with ROLS algorithm, the effective centers of network can be obtained by adopting backward selection algorithm, which achieve acceptable accuracy with significant reduction of network structure. The results of simulation and experimentation show that the algorithm is efficient and useful.

关 键 词:recursive orthogonal least squares  RBFNN  backward selection  reduction
修稿时间:2002-06-17

A New Learning Algorithm Based on Radial Basis Function Neural Network--Recursive Orthogonal Least Squares (ROLS) Algorithm
ZHANG Xing lan,CAO Chang xiu,MEI Bin. A New Learning Algorithm Based on Radial Basis Function Neural Network--Recursive Orthogonal Least Squares (ROLS) Algorithm[J]. Storage & Process, 2002, 0(10): 56-60
Authors:ZHANG Xing lan  CAO Chang xiu  MEI Bin
Abstract:The Recursive Orthogonal Least Squares (ROLS) algorithm is applied to train Radial Basis Function Neural Network (RBFNN) when modeling, so as to save large memory and computational efforts. Using the information available from the trained network with ROLS algorithm, the effective centers of network can be obtained by adopting backward selection algorithm, which achieve acceptable accuracy with significant reduction of network structure. The results of simulation and experimentation show that the algorithm is efficient and useful.
Keywords:recursive orthogonal least squares  RBFNN  backward selection  reduction
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