Rainfall patterns and self organizing feature maps

Authors

Francia B. Avila ⋅ PH Manila Observatory, Ateneo de Manila University Campus
Jose T. Villarin, S.J. ⋅ PH Manila Observatory, Ateneo de Manila University Campus

Abstract

This paper investigates the use of self organizing feature maps (SOFMs) as an objective method for classifying rainfall data to identify climate types. Results show that SOFMs are effective clustering tools for nonlinear climate data such as precipitation.

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Issue

2005: Proceedings of the 23rd Samahang Pisika ng Pilipinas Physics Congress

Physics connects
26-28 October 2005, Central Philippine University, Iloilo City

Article ID

SPP-2005-PB-54

Section

Poster Session PB

Published

2005-10-26

How to Cite

[1]

FB Avila and JT Villarin, Rainfall patterns and self organizing feature maps, Proceedings of the Samahang Pisika ng Pilipinas 23, SPP-2005-PB-54 (2005). URL: https://proceedings.spp-online.org/article/view/SPP-2005-PB-54.