Study of the NN's structure used in the wear measurement system

被引：0

作者：

Gao, YH ^{[1
]}

Song, WD ^{[1
]}

Yang, KY ^{[1
]}

Tan, YJ ^{[1
]}

Zhang, X ^{[1
]}

机构：

[1] Jilin Univ, Ctr Test Sci, Changchun 130022, Peoples R China

来源：

ICEMI 2005: CONFERENCE PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL 4 | 2005年

关键词：

structure; algorithm; wear; nonlinear approximation; Neural Network;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Article describes how to select the structure and learning algorithm of neural network due to a specified condition. The paper lists the structures of NN that are used in the process of study, presents the emulation results correspondingly in the form of table and curve and gives some selection criterion.

引用

页码：536 / 539

页数：4

共 6 条

[1] Global convergence of a two-parameter family of conjugate gradient methods without line search [J].

Chen, XD ;

Sun, J .

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2002, 146 (01) :37-45

[2]

CONG S, 2003, THEORY APPL NEURAL N, P5

[3]

Gao YH, 2004, PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 1, P1056

[4] Target detection through image processing and resilient propagation algorithms [J].

Patnaik, LM ;

Rajan, K .

NEUROCOMPUTING, 2000, 35 (35) :123-135

[5]

SUN JX, 2002, MODERN PATTERN RECOG, P1

[6]

Zhang Dong, 2003, Journal of System Simulation, V15, P1088

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