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IJCNN
2007
IEEE
13 years 11 months ago
Local Learning of Tide Level Time Series using a Fuzzy Approach
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
E. Canestrelli, P. Canestrelli, Marco Corazza, Mau...
IGARSS
2010
13 years 2 months ago
High-rate local sea level monitoring with a GNSS-based tide gauge
We present first results from the analysis of high-rate observations with a GNSS-based tide gauge at the Onsala Space Observatory. The goal is to determine local sea level with hi...
Johan S. Löfgren, Rudiger Haas, Jan M. Johans...
TFS
2008
123views more  TFS 2008»
13 years 4 months ago
Numerical and Linguistic Prediction of Time Series With the Use of Fuzzy Cognitive Maps
Abstract--In this paper, we introduce a novel approach to timeseries prediction realized both at the linguistic and numerical level. It exploits fuzzy cognitive maps (FCMs) along w...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
ICTAI
2005
IEEE
13 years 10 months ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee
EVOW
2009
Springer
13 years 8 months ago
Efficient Signal Processing and Anomaly Detection in Wireless Sensor Networks
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
Markus Wälchli, Torsten Braun