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UGC NET Computer Science Previous Year Questions (PYQs)

UGC NET Computer Science Machine Learning PYQ

UGC NET Computer Science PYQ
Given that η refers to learning rate and xi refers to the i-th input to the neuron, which of the followings most suitably describes the weight updation rule of a Kohonen SOM? (where ‘j’ refers to the j-th neuron in the lattice)





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UGC NET Computer Science UGC NET PYQ UGC NET Computer Science UGC NET Computer Science 26 June 2025 (Paper II) PYQ

Solution

Explanation: The SOM (Self-Organizing Map) weight update formula is w(new) = w(old) + η * (x − w(old)) which simplifies to (1 − η) * w(old) + η * x.

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