Security threats against computer networks and the Internet have emerged as a major and
increasing area of concern for end-users trying to protect their valuable information and …

The capability of fuzzy systems to solve different kinds of problems has been demonstrated
in several previous investigations. Genetic fuzzy systems (GFSs) hybridize the approximate …

This paper presents a neuro-fuzzy (NF) networks based scheme for fault detection and
isolation (FDI) of a U-tube steam generator (UTSG) in a nuclear power plant. Two types of …

Generating both accurate as well as explanatory classification rules is becoming
increasingly important in a knowledge discovery context. In this paper, we investigate the …

In the past decades, medical data mining has become a popular data mining subject.
Researchers have proposed several tools and various methodologies for develo** …

The aim of this study was to determine the accuracy of fuzzy rule‐based classification that
could noninvasively predict CAD based on myocardial perfusion scan test and clinical …

This paper proposes the use of a genetic fuzzy-rule-based classification system for land
cover classification from hyperspectral images. The proposed classifier, namely, Feature …

Evolutionäre Algorithmen bilden eine Klasse sehr universeller Werkzeuge zur Lösung von
Optimierungsproblemen. Mit diesem Buch lernen Sie alles Wesentliche über dieses …

Using fuzzy rules to explain the neural network conforms with people's way of thinking. Multi-
objective evolutionary fuzzy systems can obtain the fuzzy rules with high accuracy and …

The goal of steganalysis algorithms is detection of stego images from clean images. Each
steganography method based on its embedding mechanism puts a special pattern on the …