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On-line training and pruning for recursive least square algorithms

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4 Author(s)
Chi Sing Leung ; Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong ; Kwok Wo Wong ; Pui Fai Sum ; Lai Wan Chan

The authors derive a pruning method for recursive least square (RLS) based algorithms. In this approach, training (on-line type) and pruning are combined. Simulation results showed that this approach is an effective training and pruning method for neural networks

Published in:

Electronics Letters  (Volume:32 ,  Issue: 23 )

Date of Publication:

7 Nov 1996

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