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» Estimation of Fuel Moisture Content Using Neural Networks
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IWINAC
2005
Springer
13 years 10 months ago
Estimation of Fuel Moisture Content Using Neural Networks
Fuel moisture content (FMC) is one of the variables that drive fire danger. Artificial Neural Networks (ANN) were tested to estimate FMC by calculating the two variables implicat...
David Riaño, S. L. Ustin, L. Usero, Miguel ...
AISS
2010
130views more  AISS 2010»
13 years 2 months ago
Neural Network Modeling for Proton Exchange Membrane Fuel Cell (PEMFC)
This paper presents the artificial intelligence techniques to control a proton exchange membrane fuel cell system process using particularly a methodology of dynamic neural networ...
Youssef M. ElSayed, Moataz H. Khalil, Khairia E. A...
IJCNN
2006
IEEE
13 years 11 months ago
Neural Network Control of Spark Ignition Engines with High EGR Levels
— Research has shown substantial reductions in the oxides of nitrogen (NOx) concentrations by using 10% to 25% exhaust gas recirculation (EGR) in spark ignition (SI) engines [1]....
Atmika Singh, Jonathan Blake Vance, Brian C. Kaul,...
ICANN
2005
Springer
13 years 10 months ago
Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps
We propose a content-based information retrieval (CBIR) method that models known relationships between multimedia objects as a hierarchical tree-structure incorporating additional ...
Mats Sjöberg, Jorma Laaksonen
ICANN
2009
Springer
13 years 11 months ago
Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval
Abstract. Estimating the degree of similarity between images is a challenging task as the similarity always depends on the context. Because of this context dependency, it seems qui...
Jukka Perkiö, Aapo Hyvärinen