An Incremental Framework Based on Cross-Validation for Estimating the Architecture of a Multilayer Perceptron

Oya Aran, Olcay Taner Yildiz, Ethem Alpaydin

Abstract: We define the problem of optimizing the architecture of a multilayer perceptron (MLP) as a state space search and propose the MOST (Multiple Operators using Statistical Tests) framework that increm...