ISSN 2394-5125
 

Research Article 


LINEAR REGRESSION AND NEURAL NETWORKS ALGORITHM TO PREDICTING THE REAL-TIME PARAMETERS OF TEMPERATURE AND HUMIDITY

MURALI. D, PRASANNA. S, MATHAVAN. V,PRIYARADHIKADEVI. T.

Abstract
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.

Key words: Internet of Things (IoT), Raspberry Pi Model 3, ThingSpeak, Linear Regression


 
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How to Cite this Article
Pubmed Style

MURALI. D, PRASANNA. S, MATHAVAN. V,PRIYARADHIKADEVI. T. LINEAR REGRESSION AND NEURAL NETWORKS ALGORITHM TO PREDICTING THE REAL-TIME PARAMETERS OF TEMPERATURE AND HUMIDITY. JCR. 2020; 7(16): 2452-2457. doi:10.31838/jcr.07.16.313


Web Style

MURALI. D, PRASANNA. S, MATHAVAN. V,PRIYARADHIKADEVI. T. LINEAR REGRESSION AND NEURAL NETWORKS ALGORITHM TO PREDICTING THE REAL-TIME PARAMETERS OF TEMPERATURE AND HUMIDITY. http://www.jcreview.com/?mno=103867 [Access: April 10, 2021]. doi:10.31838/jcr.07.16.313


AMA (American Medical Association) Style

MURALI. D, PRASANNA. S, MATHAVAN. V,PRIYARADHIKADEVI. T. LINEAR REGRESSION AND NEURAL NETWORKS ALGORITHM TO PREDICTING THE REAL-TIME PARAMETERS OF TEMPERATURE AND HUMIDITY. JCR. 2020; 7(16): 2452-2457. doi:10.31838/jcr.07.16.313



Vancouver/ICMJE Style

MURALI. D, PRASANNA. S, MATHAVAN. V,PRIYARADHIKADEVI. T. LINEAR REGRESSION AND NEURAL NETWORKS ALGORITHM TO PREDICTING THE REAL-TIME PARAMETERS OF TEMPERATURE AND HUMIDITY. JCR. (2020), [cited April 10, 2021]; 7(16): 2452-2457. doi:10.31838/jcr.07.16.313



Harvard Style

MURALI. D, PRASANNA. S, MATHAVAN. V,PRIYARADHIKADEVI. T (2020) LINEAR REGRESSION AND NEURAL NETWORKS ALGORITHM TO PREDICTING THE REAL-TIME PARAMETERS OF TEMPERATURE AND HUMIDITY. JCR, 7 (16), 2452-2457. doi:10.31838/jcr.07.16.313



Turabian Style

MURALI. D, PRASANNA. S, MATHAVAN. V,PRIYARADHIKADEVI. T. 2020. LINEAR REGRESSION AND NEURAL NETWORKS ALGORITHM TO PREDICTING THE REAL-TIME PARAMETERS OF TEMPERATURE AND HUMIDITY. Journal of Critical Reviews, 7 (16), 2452-2457. doi:10.31838/jcr.07.16.313



Chicago Style

MURALI. D, PRASANNA. S, MATHAVAN. V,PRIYARADHIKADEVI. T. "LINEAR REGRESSION AND NEURAL NETWORKS ALGORITHM TO PREDICTING THE REAL-TIME PARAMETERS OF TEMPERATURE AND HUMIDITY." Journal of Critical Reviews 7 (2020), 2452-2457. doi:10.31838/jcr.07.16.313



MLA (The Modern Language Association) Style

MURALI. D, PRASANNA. S, MATHAVAN. V,PRIYARADHIKADEVI. T. "LINEAR REGRESSION AND NEURAL NETWORKS ALGORITHM TO PREDICTING THE REAL-TIME PARAMETERS OF TEMPERATURE AND HUMIDITY." Journal of Critical Reviews 7.16 (2020), 2452-2457. Print. doi:10.31838/jcr.07.16.313



APA (American Psychological Association) Style

MURALI. D, PRASANNA. S, MATHAVAN. V,PRIYARADHIKADEVI. T (2020) LINEAR REGRESSION AND NEURAL NETWORKS ALGORITHM TO PREDICTING THE REAL-TIME PARAMETERS OF TEMPERATURE AND HUMIDITY. Journal of Critical Reviews, 7 (16), 2452-2457. doi:10.31838/jcr.07.16.313