BEHAVIORAL PATTERN PREDICTION METHOD BASED ON IOT DATA ANALYSIS USING DEEP NEURAL NETWORK FOR AUTOMATIC CONTROL
With the improvement of technologies, the systems are increasingly modern, and complex. The study of solutions to apply technological achievements of the Fourth Industrial Revolution aims to improve the efficiency of exploitation and use of technical systems is very important and urgent. In this paper, we propose a behavioral pattern prediction method based on IoT data analysis using a deep neural network for automatic control. The general results of experiments on synthetic data showed high accuracy of prediction, the accuracy of the classifier on 5000 test samples averaged 98%. Therefore, this method can be applied to develop automatic systems and smart control machinery equipment in real-time.