发明名称 |
Self-organizing feature map with improved performance by non-monotonic variation of the learning rate |
摘要 |
The learning rate used for updating the weights of a self-ordering feature map is determined by a process that injects some type of perturbation into the value so that it is not simply monotonically decreased with each training epoch. For example, the learning rate may be generated according to a pseudorandom process. The result is faster convergence of the synaptic weights.
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申请公布号 |
US2003140019(A1) |
申请公布日期 |
2003.07.24 |
申请号 |
US20020055352 |
申请日期 |
2002.01.22 |
申请人 |
KONINKLIJKE PHILIPS ELECTRONICS N.V. |
发明人 |
GUTTA SRINIVAS;PHILOMIN VASANTH;TRAJKOVIC MIROSLAV |
分类号 |
G06N3/00;G06N3/08;(IPC1-7):G06F15/18 |
主分类号 |
G06N3/00 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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