Input variables selection using genetic algorithm in training an artificial neural network

인공신경망 학습단계에서의 Genetic Algorithm을 이용한 입력변수 선정

Determination of input variables for artificial neural network (ANN) depends entirely on the judgement of a modeller. As the number of input variables increases, the training time for the resulting ANN increases exponentially. Moreover, larger number of input variables does not guarantee better performance. In this research, we employ Genetic Algorithm for selecting proper input variables that yield the best performance in training the resulting ANN.