文件名称:Self--Adjustment-of-Neuron-I
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a self-adjustment algorithm
based on GAP-RBF is proposed for solving how to
choose the overlap factorfor calculating neuron impact width.-In this paper, we propose a Constructive Enhancement
for OS-ELM (CEOS-ELM), which can add random
hidden nodes one-by-one or group-by-group with fixed or
varying group size. CEOS-ELM is searching for the optimal
network architecture during the sequential learning process,
and it can handle both additive and radial basis function
(RBF) hidden nodes.
based on GAP-RBF is proposed for solving how to
choose the overlap factorfor calculating neuron impact width.-In this paper, we propose a Constructive Enhancement
for OS-ELM (CEOS-ELM), which can add random
hidden nodes one-by-one or group-by-group with fixed or
varying group size. CEOS-ELM is searching for the optimal
network architecture during the sequential learning process,
and it can handle both additive and radial basis function
(RBF) hidden nodes.
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Self- Adjustment of Neuron Impact Width in Growing and.pdf
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