Neural controller for smart house security subsystem

Abstract

The Smart House security subsystem is presented in the paper. The subsystem is based on neural controller that uses an artificial neural network of a multilayer perceptron type, a model based on the Petri nets theory and physical model based on an Arduino microcontroller. The model of artificial neural network is developed using C++ and loaded into microcontroller memory. The presented security subsystem Smart House supports processing fuzzy and semistructured data received from sensor subsystems.