Investigating event‐specific drought attribution using self‐organizing maps
نویسندگان
چکیده
منابع مشابه
Prior Knowledge Integration in Selforganizing Maps for Complex Process Supervision
The self-organizing map (SOM) can be used for process condition monitoring. It defines a nonlinear projection from a high dimensional space on a typically 2D space where different process conditions are mapped into different regions. This projection is obtained on an unsupervised data-driven basis and requires a further interpretation stage to define the 2D regions corresponding to different co...
متن کاملUnsupervised pattern recognition in continuous seismic wavefield records using SelfOrganizing Maps
S U M M A R Y Modern acquisition of seismic data on receiver networks worldwide produces an increasing amount of continuous wavefield recordings. In addition to manual data inspection, seismogram interpretation requires therefore new processing utilities for event detection, signal classification and data visualization. The use of machine learning techniques automatises decision processes and r...
متن کاملInvestigating Topic Influence in Authorship Attribution
The aim of this paper is to explore text topic influence in authorship attribution. Specifically, we test the widely accepted belief that stylometric variables commonly used in authorship attribution are topic-neutral and can be used in multi-topic corpora. In order to investigate this hypothesis, we created a special corpus, which was controlled for topic and author simultaneously. The corpus ...
متن کاملSelforganizing Cliiord Neural Network
This paper presents a novel selforganizing type RBF neural network and introduces the geometric algebra in the neural computing eld. Real valued neural nets for function approximation require feature enhancement, dilation and rotation operations and are limited by the Euclidean metric. This coordinate-free geometric framework allows to process patterns between layers in a particular dimension a...
متن کاملAnalysis of Mobile Radio Access Network Using the Selforganizing Map
Abstract: Mobile networks produce a huge amount of spatio-temporal data. The data consists of parameters of base stations and quality information of calls. The Self-Organizing Map (SOM) is an efficient tool for visualization and clustering of multidimensional data. It transforms the input vectors on two-dimensional grid of prototype vectors and orders them. The ordered prototype vectors are eas...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Geophysical Research: Atmospheres
سال: 2016
ISSN: 2169-897X,2169-8996
DOI: 10.1002/2016jd025602