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UGC NET Computer Science Machine Learning Previous Year Questions (PYQs)
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UGC NET Computer Science Machine Learning Previous Year Questions (PYQs)
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UGC NET Computer Science
Previous Year Questions
UGC NET Computer Science
Previous Year Questions
UGC NET Computer Science
Qus : 1
1
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)
1
wij(new) = (1 − η) * wij(old) + η * xi
2
wij(new) = η * wij(old) + (1 − η) * xi
3
wij(new) = (1 − η) * wij(old) + xi
4
wij(new) = wij(old) + η * xi
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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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