@inproceedings{4ac537a5aa2948f5adb2c51a45eff8b3,
title = "Penalty-optimal brain surgeon process and its optimize algorithm based on conjugate gradient",
abstract = "In view of the high complexity of pruning algorithm for OBS (optimal brain surgery) process and the deficiency of its match usage with training algorithm, this paper presents a penalty OBS computational model, in which the pruning condition is considered as a penalty term integrated in the objective function of NN (neural network). Based on its theoretical convergence, this model is realized by adopting the conjugate gradient method. Moreover, the effectiveness of this model is validated by a simulation test. The parallelization of network training process and OBS process ensures the accuracy and the efficiency of regularization so as to improve the generalization capacity of NN.",
keywords = "conjugate gradient, convergence, model, network pruning, neural network, optimal brain surgery process",
author = "Cuijuan Wu and Dong Li and Tian Song",
year = "2011",
doi = "10.1007/978-3-642-19853-3_7",
language = "English",
isbn = "9783642198526",
series = "Communications in Computer and Information Science",
pages = "48--57",
booktitle = "Information and Automation - International Symposium, ISIA 2010, Revised Selected Papers",
note = "2010 International Symposium on Information and Automation, ISIA 2010 ; Conference date: 10-11-2010 Through 11-11-2010",
}