Sampling-based methods for uncertainty and sensitivity analysis are reviewed. The
following topics are considered:(i) definition of probability distributions to characterize …

This paper proposes a new algorithm in the fuzzy-c-means family, which is designed to
cluster time-series and is particularly suited for short time-series and those with unevenly …

Conventionally, the multiple linear regression procedure has been known as the most
popular models in simulating hydrological time series. However, when the nonlinear …

This paper proposes a solution to Challenge Problem 1 posed by Oberkampf et al.[Reliab.
Engng Syst. Safety (this issue)] and focuses on questions of dependence or independence …

This paper reports on investigations of the abilities of three different artificial neural network
(ANN) techniques, multi‐layer perceptrons (MLP), radial basis neural networks (RBNN) and …

Hydraulic conductivity is the essential parameter for groundwater modeling and
management. Yet estimation of hydraulic conductivity in a heterogeneous aquifer is …

The purpose of this work is to introduce one of the most promising among recently
developed statistical techniques–the support vector machine (SVM)–to corporate bankruptcy …

The scientific literature on fuzzy numbers and arithmetic calculations is rich in several
approaches to define fuzzy operations having many desired properties that are not always …

The results of simulation and experimental tests conducted for pneumatic servo-drive with
FLC (fuzzy logic controller) are presented. For positioning control and teaching/play-back …

This paper proposes a multi-layer approach to modeling perception of expressive speech.
Many earlier studies of expressive speech focused on statistical correlations between …