Radial Basis Function Network (RBFN)
Revision as of 15:53, 28 June 2018 by BPeat (talk | contribs) (Created page with "[http://www.youtube.com/results?search_query=Radial+Basis+Function+Network+RBFN YouTube search...] * Cybersecurity ___________________________________________________ P...")
___________________________________________________
Performs classification by measuring the input’s similarity to examples from the training set. Each RBFN neuron stores a “prototype”, which is just one of the examples from the training set. When we want to classify a new input, each neuron computes the Euclidean distance between the input and its prototype. Roughly speaking, if the input more closely resembles the class A prototypes than the class B prototypes, it is classified as class A. Radial Basis Function Network (RBFN) Tutorial | Chris McCormick
As a non-linear classifier...
