PREDICTION MODEL DEVELOPMENT AND ACCURACY IMPROVEMENT OF MONTHLY RAINFALL IN INDONESIAN REGION BASED ON TROPICAL RAINFALL MEASURING MISSION (TRMM), COSMIC RAYS AND SUNSPOT NUMBER DATA USING ARTIFICIAL NEURAL NETWORK

PREDICTION MODEL DEVELOPMENT AND ACCURACY IMPROVEMENT OF MONTHLY RAINFALL IN INDONESIAN REGION BASED ON TROPICAL RAINFALL MEASURING MISSION (TRMM), COSMIC RAYS AND SUNSPOT NUMBER DATA USING ARTIFICIAL NEURAL NETWORK

Improvement of monthly rainfall prediction accuracy in Indonesian region based on Tropical Rainfall Measuring Mission (TRMM) data using artificial neural network (ANN) model has been investigated. The external factors, solar activity and cosmic rays were involved as the network input.Energetic parti...

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Bibliographic Details
Main Author: TEJO NUGROHO ( NIM: 32408301 ); Pembimbing : Prof. Safwan Hadi, Ph. D, JALU
Format: Dissertations
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/18747
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Institution: Institut Teknologi Bandung
Language: Indonesia

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https://digilib.itb.ac.id/gdl/view/18747

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