Solução de problemas de otimização linear por redes neurais associadas a metodos de pontos interiores

Orientadores : Christiano Lyra Filho, Aurelio Ribeiro Leite de OliveiraTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de ComputaçãoDoutorad

Interior Point Implementations of Alternating Minimization Training

This paper presents an alternating minimization algorithm used to train radial basis function networks. The algorithm is a modification of an interior point method used in solving primal linear programs. The resulting algorithm is shown to have a convergence rate on the order of p nL iterations where n is a measure of the network size and L is a measure of the resulting solution's accuracy