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101
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NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 8 days ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
85
Voted
EUSFLAT
2003
128views Fuzzy Logic» more  EUSFLAT 2003»
15 years 1 months ago
Hardware implementation of a fuzzy Petri net based on VLSI digital circuits
Industrial processes can be often modelled using Petri nets. If all the process variables (or events) are assumed to be twovalued signals, then it is possible to obtain a hardware...
Jacek Kluska, Zbigniew Hajduk
WSC
2000
15 years 1 months ago
Simulation of an evolutionary tuned fuzzy dispatching system for automated guided vehicles
This paper presents the development and simulation of a novel Genetic Algorithm (GA) based methodology applied to optimal tuning of a fuzzy dispatching system for a fleet of autom...
Kok Kiong Tan, K. Z. Tang
EUSFLAT
2009
14 years 10 months ago
A Two Step Solution Procedure to a Fuzzy Medical Waste Disposal Facility Location Problem
This paper handles the medical waste disposal facility location problem in Istanbul by using fuzzy TOPSIS (FETOPSIS) to select the adequate place between some candidate points that...
H. Ziya Ulukan, Yesim Kop
HAIS
2008
Springer
15 years 1 months ago
Clustering Likelihood Curves: Finding Deviations from Single Clusters
For systematic analyses of quantitative mass spectrometry data a method was developed in order to reveal peptides within a protein, that show differences in comparison with the rem...
Claudia Hundertmark, Frank Klawonn