International Journal of Engineering and Management Research (IJEMR)
Year : 2017, Volume : 7, Issue : 5
First page : ( 27) Last page : ( 30)
Print ISSN : 2394-6962. Online ISSN : 2250-0758.

Temperature Prediction System using Back spread Neural Network: An Approach

Umapathi M.¹, Srinivasan N.¹, Indrani S. Cynthiya Margart¹

¹Department of mathematics, St. Peter's University, Avadi, Chennai, India

Online published on 8 December, 2017.

Abstract

This paper uses fake neural systems for temperature anticipating. Our examination in light of back spread neural system which is prepared and tried in light of dataset gave. In detailing the ANN-based prescient model; three-layer organize has been built. Reasonable air temperature expectations can give ranchers and makers important data when they confront choices concerning utilization of alleviating advancements, for example, plantation radiators or water system. The exploration exhibited in this postulation created manufactured neural systems models for the forecast of air temperature. In this paper, back proliferation neural arrange is utilized for temperature guaging. The specialized turning points, that have been accomplished by the specialists in this field has been audited and displayed in this paper. From the previous decades there are different models are produced for climate estimating utilizing manufactured neural system, and by utilizing delicate registering, which are talked about in this paper. Fake neural systems and the back spread calculation utilized for temperature anticipating as a rule are clarified.

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Keywords

Factor Analysis, Statistica Neural Network, Training and Testing Neural Network.

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