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  • 标题:Two Phase Neural Network Model for Weather Forecast Along-with Logistic and Linear Regression
  • 本地全文:下载
  • 作者:Anil Kumar ; Praveen Sharma
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2018
  • 卷号:6
  • 期号:5
  • 页码:5971-5978
  • DOI:10.15680/IJIRCCE.2018.0605126
  • 出版社:S&S Publications
  • 摘要:Day by day Weather determining is utilized for different reasons in various zones like horticulture, vitality supply, transportations, and so forth. Exactness of climate conditions appeared in conjecture reports is exceptionally important. In this task, the scheme is directed to research a superior approach for estimating which looks at numerous systems, for example, Two Phase Neural Network, Logistic and Linear Regression for the mean of fuzzy bunching, and so on which are utilized for various kinds of measuring technique. Among which neural system with the back track calculation performs expectation with negligible mistake. Neural system is a mind boggling system which is self-versatile in nature. It learns independent from anyone else utilizing the preparation information and produces some insightful examples which are helpful for anticipating the climate. The system utilizes 7 input parameters to conjecture the day by day climate as far as temperature, precipitation, mugginess, cloud condition, and climate of the day thus predicting the temperature for next 4 to 5 days will be forecasted..
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