A Machine Learning Arithmetic for Home Autocontrol System

To learn users´ habit of operating home appliances, an arithmetic based on artificial immune system is proposed. The immune system of organism is analyzed, and an architecture of the arithmetic is designed. The home appliances operations are expressed by antibodies, a concentration model of antibody is built, and the users´ habit of operations could be distinguished from all the operations by the antibody concentration; the initial immune response arithmetic and the secondary immune response arithmetic are designed, which are used to learn users´ habit and autocontrol home appliances. The experiments on air-conditioning show that the air-conditioning can autocontrol according to users´ habit after five days, and the arithmetic could solve the problem that intelligent home appliances learn users´ habit