Coupled ocean-atmosphere science steadily advances with increasing information obtained
from long-records of in situ observations, multiple-year archives of remotely sensed satellite …

Self organizing maps (SOMs) are used to locate archetypal points that describe the multi-
dimensional distribution function of a gridded sea level pressure data set for the northeast …

Understanding the link between the energy-efficiency of buildings and climatic conditions
can improve the design of energy-efficient housing. Due to global climate change and …

This paper discusses issues that surround the development of empirical downscaling
techniques as context for presenting a new approach based on self-organizing maps …

Despite its wide applications as a tool for feature extraction, the Self‐Organizing Map (SOM)
remains a black box to most meteorologists and oceanographers. This paper evaluates the …

Multivariate clustering based on fine spatial resolution maps of elevation, temperature,
precipitation, soil characteristics, and solar inputs has been used at several specified levels …

Abstract The Self-Organizing Map (SOM) algorithm has attracted a great deal of interest
among researches and practitioners in a wide variety of fields. The SOM has been analyzed …

人工神经网络模型在地学研究中的应用进展 地球科学进展 首页 期刊介绍 编委会 期刊在线 当期
目录 优先出版 过刊浏览 下载排行 点击排行 作者中心 政策制度 出版道德声明 编辑政策 开放获取 …

Self-organizing maps (SOMs) are a relative newcomer to synoptic climatology; the method
itself has only been utilized in the field for around a decade. In this article, we review the …

Patterns of ocean current variability are examined on the West Florida Shelf by a neural
network analysis based on the self‐organizing map (SOM), using time series of moored …