LINEAR REGRESSION AND NEURAL NETWORKS ALGORITHM TO PREDICTING THE REAL-TIME PARAMETERS OFTEMPERATURE AND HUMIDITY
D Murali., Sahana Prasanna, Mathavan., T. Priyaradhikadevi · Journal of Critical Reviews · 2020
Web of Things is a developing innovation that is making our reality more astute. The possibility of the associated world can't be envisioned without IOT. In IOT, different things, for example, lighting, home apparatuses, PCs, surveillance camera, and so on all are associated with the web and permitting the client to screen and control things paying little heed to time and area limitation. The primary target is to guarantee security and improve comfort. In this paper, we are utilizing various sensors to anticipate ongoing boundaries like Temperature and dampness, etc. By utilizing sensors, we will quantify the qualities, and those qualities will be put away in the cloud. For putting away the qualities in the cloud, we are utilizing the Thing talk stage. Thingspeak is an IOT examination stage administration that permits you to total, envision, and break down live information streams in the cloud. You can send information to Thing Speak from your gadgets, make moment perception of live information, and send alarms. The information will be put away in the cloud stage, and by utilizing the AI calculations, we anticipated the future information. We are utilizing a portion of the calculations like Linear Regression and Neural systems to foresee the following information.