Research on some problems in the Kohonen SOM algorithm
The article analyzes the relation between initial parameters setting and the formation of a topographic map of the input patterns in which the spatial locations of the neurons in the lattice are indicative of intrinsic statistical features contained in the input patterns of a Kohonen self-organizing...
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| container_end_page | 1282 vol.3 |
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| container_start_page | 1279 |
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| container_volume | 3 |
| creator | Ying He Tian-Jin Feng Jun-Kuo Cao Xiang-Qian Ding Ying-Hui Zhou |
| description | The article analyzes the relation between initial parameters setting and the formation of a topographic map of the input patterns in which the spatial locations of the neurons in the lattice are indicative of intrinsic statistical features contained in the input patterns of a Kohonen self-organizing map (SOM) algorithm. Taking a network arranged in the form of a two-dimensional lattice and trained with a two-dimensional input vector as an example, the author puts forward an initializing method for connection weights of the neurons in the competition layer. |
| doi_str_mv | 10.1109/ICMLC.2002.1167409 |
| format | Conference Proceeding |
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| language | eng |
| recordid | cdi_ieee_primary_1167409 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Application software Convergence Helium Lattices Machine learning Machine learning algorithms Neurons Oceans Organizing Signal processing algorithms |
| title | Research on some problems in the Kohonen SOM algorithm |
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