Comparison of the BP training algorithm and LVQ neural networks for e, μ, π identification

Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Volumn 379, Issue 2, 1996, Pages 271-275

  Zhang, Z P ^a   Chen, H F ^a   Ye, S W ^a   Zhao, J W ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; EXPERIMENTS; FEEDBACK; HIGH ENERGY PHYSICS; PATTERN RECOGNITION;

BACK-PROPAGATION TRAINING ALGORITHM; FEED-FORWARD MULTI-LAYER MODE;

NEURAL NETWORKS;

EID: 0042634209     PISSN: 01689002     EISSN: None     Source Type: Journal    
DOI: 10.1016/0168-9002(96)00733-4     Document Type: Article

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