The design parameters of three phase squirrel cage induction motors can be divided into three main groups: the fIrst one are basic parameters such as length of the core and an outer and inner diameter of stator iron core
the second group are the parameters of stator winding wire such as the number and diameter of winding wire
the third one are the dimensions of stator and rotor such as stator and rotor's slot height, slot breadth and tooth breadth. These parameters are interdependent, varying from min value to max value for the designer's choice which has great effect on different copper and iron loss. Therefore, it is necessary to select the most appropriate parameters so that copper and iron loss get min value. This article presents the algorithms and program of optimum design of three-phase squirrel cage induction motor based on efficience maximization with artifIcial neural networks.