DocumentCode
2996546
Title
A Constraints-Embeded OBS Process and Conjugate Gradient Optimizing Algorithm
Author
Cui-juan, WU ; Dong, LI ; Tian, Song
Author_Institution
Dept. of Mech. & Electron., Suzhou Inst. of Trade & Commerce, Suzhou, China
fYear
2010
fDate
25-27 June 2010
Firstpage
23
Lastpage
26
Abstract
The optimal brain surgeon (OBS) process is a high computing complexity post-training network pruning algorithm. A OBS conjugate gradient structure optimizing algorithm (c-OBS-CG) constraints embedded was designed which regarded the structure evaluating relationship as constraints and introduced it into neural network trainging target function, and aided by the mix process of Newton gradient and conjugate gradient. The simulation experiment verify its validity. It implements the parallel pruning of network training and OBS process, keeps both the accuracy of OBS procedure and highly-efficient regularization, raises the generalization performance of neural network.
Keywords
Newton method; computational complexity; conjugate gradient methods; constraint handling; generalisation (artificial intelligence); medical computing; neural nets; surgery; Newton gradient; OBS conjugate gradient structure optimizing algorithm constraint; conjugate gradient optimizing algorithm; constraints embedded OBS process; generalization performance; high computing complexity post training network pruning algorithm; neural network trainging target function; optimal brain surgeon process; Algorithm design and analysis; Biological neural networks; Information processing; Optimization; Presses; Process control; Surgery; conjugate gradient; constraints; network pruning; neural network; optimal brain surgeon process;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6880-5
Type
conf
DOI
10.1109/iCECE.2010.14
Filename
5630697
Link To Document