title: Circular backpropagation networks embed vector quantization.
abstract: This letter proves the equivalence between vector quantization (VQ) classifiers and circular backpropagation (CBP) networks. The calibrated prototypes for a VQ schema can be plugged in a CBP feedforward structure having the same number of hidden neurons and featuring the same mapping. The letter describes how to exploit such equivalence by using VQ prototypes to perform a meaningful initialization for BP optimization. The approach effectiveness was tested considering a real classification problem (NIST handwritten digits).
authors.forename: S
authors.initials: S
authors.lastname: Ridella
authors.forename: S
authors.initials: S
authors.lastname: Rovetta
authors.forename: R
authors.initials: R
authors.lastname: Zunino