An elevator control method using an artificial neural network includes: receiving elevator sensor system data input at a controller configured to execute the artificial neural network trained to convert input data into at least one output value indicating a possible elevator control command, the sensor data including a current position of an elevator car with respect to building floors, a car current moving direction and a list of current calls indicating floors where the car should stop; converting the current calls into a set of arrays using the current position and the current moving direction, wherein each array stores variables indicating floors where the car should stop during a trip in one direction to the lowest or highest floor, the number of arrays being a function of the number of trips required for the car to fulfil the current calls; and generating the input data by concatenating the arrays.