Convergence of Online Gradient Methods for Continuous Perceptrons with Linearly Separable Training Patterns

Applied Mathematics Letters

Volumn 16, Issue 7, 2003, Pages 999-1002

  Wu, Wei ^a   Shao, Zhiqiong ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Continuous perceptrons; Convergence; Feedforward neural networks; Linearly separable; Online gradient method

Indexed keywords

BACKPROPAGATION; CONVERGENCE OF NUMERICAL METHODS; FUNCTIONS; GRADIENT METHODS;

CONTINUOUS PERCEPTRONS;

FEEDFORWARD NEURAL NETWORKS;

EID: 0242364795     PISSN: 08939659     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-9659(03)90086-3     Document Type: Article

References (4)

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3. M. Gori and M. Maggini, Optimal convergence of on-line backpropagation, IEEE Tran. Neural Networks, 251-154, (1996).
4. W. Wu and Y. Xu, Deterministic convergence of an online gradient method for neural networks, Journal of Computational and Applied Mathematics 144 (1/2), 335-347, (2002).