Cycle time forecasting (CTF) is one of the most crucial issues for production planning to
keep high delivery reliability in semiconductor wafer fabrication systems (SWFS). This paper …

We describe a Web-GIS wildfire prevention and management platform (AEGIS) developed
as an integrated and easy-to-use decision support tool to manage wildland fire hazards in …

The criteria for zoning the surface fault rupture hazard (SFRH) along thrust faults are defined
by analysing the characteristics of the areas of coseismic surface faulting in thrust …

This paper presents a new self-evolving recurrent Type-2 Fuzzy Radial Basis Function
Network (T2FRBFN) in which the weights are considered Gaussian type-2 fuzzy sets and …

To consider stall flutter in the design procedure of a blade, accurate models of flow loading
are needed. This paper first presents a numerical simulation of an airfoil undergoing a deep …

Develo** a precise dynamic model is a critical step in the design and analysis of the
overhead crane system. To achieve this objective, we present a novel radial basis function …

This research work proposes a fuzzy neural network (FNN) for pattern classification. The
proposed network is the modified version of the Radial basis function neural network …

This paper introduces two novel class-specific fuzzy clustering algorithms: Mean-based
Supervised Clustering (MSC) and Density-based Mean Supervised Clustering (DMSC) …

Abstract A new Fuzzy Hypersphere Neural Network (FHNN) classifier is proposed in the
framework of Radial Basis Function Neural Network (RBFNN) for which two class specific …

A novel radial basis function neural network (RBF-NN) modeling method is presented for the
reactor-regenerator system of fluid catalytic cracking unit (FCCU). In which, the improved …