发明名称 |
Method for operating an optimal weight pruning apparatus for designing artificial neural networks |
摘要 |
A method and apparatus for designing a multilayer feed forward neural network that produces a design having a minimum number of connecting weights is based on a novel iterative procedure for inverting the full Hessian matrix of the neural network. The inversion of the full Hessian matrix results in a practical strategy for pruning weights of a trained neural network. The error caused by pruning is minimized by a correction that is applied to remaining (un-pruned) weights thus reducing the need for retraining. However, retraining may be applied to the network possibly leading to further the simplification of the network design.
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申请公布号 |
US5636326(A) |
申请公布日期 |
1997.06.03 |
申请号 |
US19950499386 |
申请日期 |
1995.07.07 |
申请人 |
RICOH CORPORATION |
发明人 |
STORK, DAVID G.;HASSIBI, BABAK |
分类号 |
G01N33/00;G06N3/08;(IPC1-7):G06F15/18 |
主分类号 |
G01N33/00 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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