Gain estimation for an AC power line data network transmitter using a self-structured neural network and genetic algorithm

This paper presents the estimation of the transmission gain for the AC power line data network in an intelligent home. The estimated gain ensures the transmission reliability and efficiency. A neural network with link switches is proposed to perform the estimation. Genetic algorithm with arithmetic crossover and nonuniform mutation is employed to tune the parameters and the structure of the proposed neural network. An application example will be given.