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» Sensor Errors Prediction Using Neural Networks
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NN
2006
Springer
14 years 9 months ago
Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: App
This paper presents a new development of the NeuroVaria method. NeuroVaria computes relevant atmospheric and oceanic parameters by minimizing the difference between the observed s...
Julien Brajard, Cédric Jamet, Cyril Moulin,...
ISNN
2010
Springer
14 years 8 months ago
MULP: A Multi-Layer Perceptron Application to Long-Term, Out-of-Sample Time Series Prediction
Abstract. A forecasting approach based on Multi-Layer Perceptron (MLP) Artificial Neural Networks (named by the authors MULP) is proposed for the NN5 111 time series long-term, out...
Eros Pasero, Giovanni Raimondo, Suela Ruffa
NN
2007
Springer
131views Neural Networks» more  NN 2007»
14 years 9 months ago
Decoupled echo state networks with lateral inhibition
Building on some prior work, in this paper we describe a novel structure termed the decoupled echo state network (DESN) involving the use of lateral inhibition. Two low-complexity...
Yanbo Xue, Le Yang, Simon Haykin
COMSWARE
2006
IEEE
15 years 3 months ago
Spread-based heuristic for sensor selection in sensor networks
In this paper we propose a method for selecting an appropriate subset of sensors with a view to minimize estimation error while tracking a target with sensors spread across in a 2...
Vaishali P. Sadaphal, Bijendra N. Jain
WOWMOM
2006
ACM
143views Multimedia» more  WOWMOM 2006»
15 years 3 months ago
GridStix: Supporting Flood Prediction using Embedded Hardware and Next Generation Grid Middleware
The cost of damage caused by flooding is directly related to the warning-time given before a flood occurs. Therefore, improving the coverage, accuracy and reliability of flood pre...
Danny Hughes, Phil Greenwood, Geoff Coulson, Gordo...