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| Packages that use SOM | |
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| databionics.esom.train | Implementation of training algorithms. |
| databionics.esom.train.search | |
| Uses of SOM in databionics.esom.train |
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| Subclasses of SOM in databionics.esom.train | |
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class |
Batch2SOM
batch version of SOM Training, without counting more hits, just update everything after whole epoche |
class |
BatchSOM
Implementation of the batch SOM training. |
class |
HybridBatchSOM
batch version, which goes online, if too many same hits are realized |
class |
KBatchSOM
version of batch training, updates map every k-th epoch |
class |
OnlineSOM
Implementation of the standard SOM training by pattern: The update of the best matching neuron and its neighbors is done right after the best match search for the curent pattern. |
class |
SlowBatchSOM
batch version of SOM Training, without counting more hits, just update everything after whole epoche |
| Uses of SOM in databionics.esom.train.search |
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| Fields in databionics.esom.train.search declared as SOM | |
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protected SOM |
BmSearch.som
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| Methods in databionics.esom.train.search with parameters of type SOM | |
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void |
BmSearch.setSOM(SOM som)
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