文件名称:Self--Adjustment-of-Neuron-I
- 所属分类：
- 人工智能/神经网络/遗传算法
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- [PDF]
- 上传时间：
- 2016-10-24
- 文件大小：
- 203kb
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- 0次
- 提 供 者：
- wan***
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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