SOM in AI

Self-Organizing feature map is Unsupervised Learning algo.

Self-Organizing feature map (SOM) refers to a neural network, which is trained using competitive learning. The competition process suggests that some criteria select a winning processing element.

NTA UGC NET June 2019

Q1) Which is the following is an example of unsupervised neural network?

a) Back Propagation  network

b) Hebb Network

c) Associativity memory network

d) Self-organizing  feature map

Ans : d) Self-organizing  feature map

Remark: Please note down rest others a,b,c are Supervised Learning algorithm.

MCQ

Q2) Which of the following can be used for clustering of data ?

a)Single layer perception

b)Multilayer perception

c)Self organizing map

d)Radial basis function

Answer: (c) Self organizing map