期刊论文、会议论文

Zhao, Yang

英文

Journal of Physics: Conference Series

1742-6588

2019

1168

062005-

International Conference on Computer Information Science and Application Technology (CISAT)

Journal of Physics Conference Series

DEC 07-09, 2018

NE Petr Univ, Daqing, PEOPLES R CHINA

NE Petr Univ

DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND

IOP PUBLISHING LTD

10.1088/1742-6596/1168/6/062005

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61331021]; Shenzhen Science and Technology Projection [JCYJ20170818143547435, JCYJ2017081810000628, JCYJ20170302142239165, JCYJ20170302142203605]; Postgraduate Innovation Development Fund Project of Shenzhen University [PIDFP-ZR2018005]

本校为其他机构

Radial basis function neural network (RBFNN) is an effective nonlinear learning model, which has a strong nonlinear fitting capability. The hidden neurons and the weight play important roles in the neural network. In the existing researches, the hidden neurons are computed in the form of a rigorous linear combination. And the weight is hard to be solved. To address these issues, in this paper a novel neural network named non-negative radial basis function neural network (NRBFNN) is proposed. The main thought of non-negative matrix factorization (NMF) is to be used to train the parameters of RB...