Neuro Rainfall Forecast with Data Mining by Real-Coded Genetical Preprocessing

Seiji Ito; Yasue Mitsukura; Minoru Fukumi; Norio Akamatsu

doi:10.1541/ieejeiss.123.817

Neuro Rainfall Forecast with Data Mining by Real-Coded Genetical Preprocessing

Seiji Ito, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

In this paper, rainfall is predicted by using a Neural Network(NN) and a Genetic Algorithm(GA). GA selects data needed to predict the rainfall. NN learns and predicts it using attributes selected by GA. The real-coded GA is used to decide data priority, and data really needed for the rainfall forecast are selected based on the priority. In order to show the effectiveness of the proposed rainfall prediction system, computer simulations are performed for real weather data. Finally, the effectiveness of this system is shown with data analysis.

Original language	English
Pages (from-to)	817-822
Number of pages	6
Journal	IEEJ Transactions on Electronics, Information and Systems
Volume	123
Issue number	4
DOIs	https://doi.org/10.1541/ieejeiss.123.817
Publication status	Published - 2003 Jan
Externally published	Yes

Keywords

Neural Network
Rainfall Forecast
Real-coded GA

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1541/ieejeiss.123.817

Cite this

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title = "Neuro Rainfall Forecast with Data Mining by Real-Coded Genetical Preprocessing",

abstract = "In this paper, rainfall is predicted by using a Neural Network(NN) and a Genetic Algorithm(GA). GA selects data needed to predict the rainfall. NN learns and predicts it using attributes selected by GA. The real-coded GA is used to decide data priority, and data really needed for the rainfall forecast are selected based on the priority. In order to show the effectiveness of the proposed rainfall prediction system, computer simulations are performed for real weather data. Finally, the effectiveness of this system is shown with data analysis.",

keywords = "Neural Network, Rainfall Forecast, Real-coded GA",

author = "Seiji Ito and Yasue Mitsukura and Minoru Fukumi and Norio Akamatsu",

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language = "English",

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T1 - Neuro Rainfall Forecast with Data Mining by Real-Coded Genetical Preprocessing

AU - Ito, Seiji

AU - Mitsukura, Yasue

AU - Fukumi, Minoru

AU - Akamatsu, Norio

PY - 2003/1

Y1 - 2003/1

N2 - In this paper, rainfall is predicted by using a Neural Network(NN) and a Genetic Algorithm(GA). GA selects data needed to predict the rainfall. NN learns and predicts it using attributes selected by GA. The real-coded GA is used to decide data priority, and data really needed for the rainfall forecast are selected based on the priority. In order to show the effectiveness of the proposed rainfall prediction system, computer simulations are performed for real weather data. Finally, the effectiveness of this system is shown with data analysis.

AB - In this paper, rainfall is predicted by using a Neural Network(NN) and a Genetic Algorithm(GA). GA selects data needed to predict the rainfall. NN learns and predicts it using attributes selected by GA. The real-coded GA is used to decide data priority, and data really needed for the rainfall forecast are selected based on the priority. In order to show the effectiveness of the proposed rainfall prediction system, computer simulations are performed for real weather data. Finally, the effectiveness of this system is shown with data analysis.

KW - Neural Network

KW - Rainfall Forecast

KW - Real-coded GA

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JO - IEEJ Transactions on Electronics, Information and Systems

JF - IEEJ Transactions on Electronics, Information and Systems

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Neuro Rainfall Forecast with Data Mining by Real-Coded Genetical Preprocessing

Abstract

Keywords

ASJC Scopus subject areas

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