Speech Recognition based on BP Network with Improved Learning Algorithm in Application on Industrial Robots

被引：0

作者：

Cui, Feng ^{[1
]}

Xiong, Chunyu ^{[1
]}

Qi, Fenghe ^{[1
]}

Wang, Chuanying ^{[1
]}

机构：

[1] Daqing Normal Univ, Dept Phys & Elect Informat Engn, Daqing 163712, Heilongjiang, Peoples R China

来源：

MATERIALS PROCESSING AND MANUFACTURING III, PTS 1-4 | 2013年 / 753-755卷

关键词：

Speech recognition; BP network; MOBP; Industrial robot;

D O I：

10.4028/www.scientific.net/AMR.753-755.2050

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A three layer feed-forward neural network is developed for speech recognition for industrial robots. The signal is made up by four kinds of command sound. Based on the steepest descent method, the BP network is trained by an improved learning algorithm in which momentum factor and learning rate adjustment is adopted. The simulation results indicates that the error in classification small also with high recognition correct in terms of a percentage.

引用

页码：2050 / 2053

页数：4

共 7 条

[1] Intelligent Visual Recognition and Classification of Cork Tiles With Neural Networks [J].

Georgieva, Antoniya ;

Jordanov, Ivan .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 2009, 20 (04) :675-685

[2]

He Ying, 2011, INT S COMP SCI SOC, V10, P79

[3]

Hou Ya-li, 2008, Journal of Detection & Control, V30, P53

[4]

Khashman Adnan, 2008, J IEEE T NEURAL NETW, V19, P1896

[5]

Li Wei, 2011, Computer Engineering, V37, P187, DOI 10.3969/j.issn.1000-3428.2011.15.059

[6]

Nedeljkovic Vladimir, 1993, J IEEE T NEURAL NETW, V4, P650

[7]

Zhang G. Z., 2005, MICROELECTRONICS COM, V22, P43

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