Classification and Prediction of Weather Forecasting Dataset by Using Artificial Neural Network

Authors

  • Sanjay D Sawaitul M.Tech, Head of Department, Department Computer Science and Engineering, Government College of Engineering, Amravati, Maharashtra, India Asst. Prof., Department of Information Technology, Government College of Engineering, Amravati, Maharashtra, India Head of Department, Computer Science and Engineering, Government College of Engineering, Amravati, Maharashtra, India
  • Prof. K. P. Wagh
  • Dr. P. N. Chatur

DOI:

https://doi.org/10.37591/.v1i1-2-3.717

Abstract

In the growing field of technology, wireless medium is playing a very important role. In this survey paper,
different models which were used in the past for weather forecasting are discussed. In today’s Internet
Technology, one of the most interesting model for accessing of various features. It shows how different models
are important for different purposes. As it can be seen the development in Computing Techniques, Artificial
Intelligence and Internet, the detected weather i.e. temperature, humidity, wind, rainfall etc. can be showed as
an image. In the past, there was a model developed using Artificial Neural Network which was used in order to
classify and predict the thunderstorm. In the past, the models which were used, some are based on image
processing, some on content based or soft computing technique. Most of the models take input as images
retrieved and based on those images, it predicts the future weather. This paper is focusing on two parts as the
weather forecasting models which were used in the past and another part includes the information about the
wireless kit used for the weather forecasting process.
Keywords: Internet Technology, Computing Techniques, Artificial Intelligence, Artificial Neural Network,
Weather Forecasting Process

Published

2019-08-14

Issue

Section

Articles