In this paper we describ� Category ART, a variation on the adaptive resonance theory (ART) neural network models. Category ART is a predictive ART architecture because it incorporates an ART module to be able to learn to predict a prescribed category given a prescribed n-dimensional input vector a. In contrast to ARTMAP, Category ART contains only one ART module and the map field algorithm has ...

A hybrid knowledge-and-model-based advisory system for intensive care ventilators has been developed. The system consists of two parts: a knowledge-based toplevel module using neural fuzzy technology and a model-based lower-level module consisting of 4 sub-units. The system generates advice on four ventilator settings (the inspired fraction of oxygen (FiO2), positive end-expiratory pressure (PE...

Sequence alignment is the most basic and essential module of computational bio-informatics. In this paper, we propose a multiple sequence alignment algorithm that employs fuzzy logic to measure the similarity of sequences based on fuzzy parameters. To guarantee the optimal alignment of the sequences, dynamic programming is used to align the sequences. The algorithm is tested on few sets of real...

Function al reasoning or the Takagi-Sugeno-Kang model is a fuzzy reasoning method aiming at numerical accuracy and has found wide use in fuzzy modeling. ln this method, each rule consists of a fuzzy implication and a functional consequence part. ln this work, a new, online identification method for such a system is presented, for supervised learning tasks. Structure identification is executed b...

This paper focuses on a study of the sequential action execution module for a collision avoidance system in ocean navigation. The overall decision-action process of collision avoidance consists on a Fuzzy logic based parallel decision making module and those decisions are formulated into collision avoidance actions by a Bayesian network based sequential action execution module. The presented co...

We propose a computer aided detection (CAD) system for the detection and classification of suspicious regions in mammographic images. This system combines a dimensionality reduction module (using principal component analysis), a feature extraction module (using independent component analysis), and a feature subset selection module (using rough set model). Rough set model is used to reduce the e...

In this demonstration we present a complete fuzzy-set-based approach to preference queries that tackles the two main questions raised by the introduction of flexibility and personalization when querying relational databases: i) how to efficiently execute preference queries? and, ii) how to help users define preferences and queries? As an answer to the first question, we propose PostgreSQL f, a ...

In this paper, a D-Q model of fuzzy based unified power flow controller (UPFC) has been proposed to control the active and reactive power flow through the transmission lines. Power loss reduction also intends with the proposed UPFC controller. The UPFC’s shunt and series controllers are developed based on D-Q fuzzy logic (FL) controller, which has been designed in PSCAD environment as an indepe...

let $r$ be a right artinian ring or a perfect commutative‎‎ring‎. ‎let $m$ be a noncosingular self-generator $sum$-lifting‎‎module‎. ‎then $m$ has a direct decomposition $m=oplus_{iin i} m_i$‎,‎where each $m_i$ is noetherian quasi-projective and each‎‎endomorphism ring $end(m_i)$ is local‎.