关键词: 成本, 神经网络, 差异演化, 预测

Abstract: Artificial neural network is introduced into prediction of cutting tool life.Structural designing of artificial network is always a trouble problem without systematic rule and local minimum usually connects with conventional grads based on parameters optimization.Aiming at the drawback in classical BP artificial networks and combining with Differential Evolution（DE） algorithms，this paper puts forwards the prediction model based on real number coded DE-BP artificial networks.As a result，it provides theoretical basis for the establishment of cutting tool requirements planning，the account of its cost and the selection of machining parameters，as well as reduces the cost in manufacturing executing system.

Key words: cost, neural network, Differential Evolution（DE）, prediction