Please use this identifier to cite or link to this item:
Title: iJADE WeatherMAN - a multiagent fuzzy-neuro network based weather prediction system
Authors: Lee, R 
Liu, J 
You, J 
Issue Date: 2001
Publisher: World Scientific
Source: In N Zhong, J Liu, S Ohsuga & J Bradshaw (Eds.), Intelligent agent technology : research and development, p.424-433. New Jersey: World Scientific, 2001 How to cite?
Abstract: Weather forecasting has been one of the most challenging problems around the world for more than half a century. Not only because of its practical value in meteorology, but it is also a typically "unbiased" time-series forecasting problem in scientific researches. In this paper, we propose an innovative intelligent multi-agent based environment, namely (iJADE) - intelligent Java Agent Development Environment - to provide an integrated and intelligent agent-based platform in the e-commerce environment. In addition to contemporary agent development platforms, which focus on the autonomy and mobility of the multi-agents, iJADE provides an intelligent layer (known as the 'conscious layer') to implement various AI functionalities in order to produce 'smart' agents. From the implementation point of view, we introduce the iJADE WeatherMAN - an intelligent multi-agent based system for automatic weather information gathering, filtering and time series weather prediction (which is done by a fuzzy-neuro network model), based on the weather information provided by various weather stations. Compared with previous studies on single point source using similar network and others like radial basis function network, learning vector quantization and Naïve Bayesian network, the results are very promising. This neural-based rainfall forecasting system is useful and parallel to traditional forecast from the Hong Kong Observatory.
Description: 2nd Asia-Pacific Conference on IAT Maebashi City, Japan, 23 – 26 October 2001
ISBN: 9810247060
DOI: 10.1142/9789812811042_0057
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Dec 17, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.