1149
The SOM is trained by the unsupervised learning to produce a low - dimensional discretized representation of the input space of the training samples , and it uses a neighborhood function to preserve the topological properties of the input space , which makes it different from other artificial neural networks .
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Given options, please tell me the categories of all the listed entity words.Output format is "type1: word1; type2: word2". 
Option: Anatomy 
Text: {0} 
 Entities:  
Answer:
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