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Competitive neural network scheme for learning vector quantisation

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2 Author(s)
Jung-Hua Wang ; Dept. of Electr. Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan ; Chung-Yun Peng

A novel self-development neural network scheme, which employs two resource counters to record node activity, is presented. The proposed network not only harmonises equi-error and equi-probable criteria, but it also avoids the stability-and-plasticity dilemma. Simulation results show that the new scheme displays superior performance (in terms of measured MSE, MAE, and training speed) over other neural network models

Published in:

Electronics Letters  (Volume:35 ,  Issue: 9 )