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EAAI
2006
123views more  EAAI 2006»
13 years 7 months ago
Applications of artificial intelligence for optimization of compressor scheduling
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
Hanh H. Nguyen, Christine W. Chan
JLP
2008
92views more  JLP 2008»
13 years 7 months ago
Relational measures and integration in preference modeling
Based on a set of criteria and a measuring lattice, we introduce relational measures as generalizations of fuzzy measures. The latter have recently made their way from the interva...
Gunther Schmidt, Rudolf Berghammer
JNW
2006
81views more  JNW 2006»
13 years 7 months ago
A Noble Fuzzy-based Mobile Tracking Scheme
In this study, we propose a novel mobile tracking method based on Multi-Criteria Decision Making (MCDM), in which uncertain parameters such as Pilot Signal Strength (PSS), the dist...
Soo Chang Kim, Jong Chan Lee, Yeon-Seung Shin
PR
2008
123views more  PR 2008»
13 years 7 months ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer
NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 7 months 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