This paper reviews neuro-fuzzy systems, which combine methods from neural network
theory with fuzzy systems. Such combinations have been considered for several years …

Neuro-fuzzy systems have recently gained a lot of interest in research and application.
Neuro-fuzzy models as we understand them are fuzzy systems that use local learning …

We present a neuro-fuzzy architecture for function approximation based on supervised
learning. The learning algorithm is able to determine the structure and the parameters of a …

Fuzzy systems are currently being used in a wide field of industrial and scientific
applications. Since the design and especially the optimization process of fuzzy systems can …

This handbook provides information about fundamental aspects of the field and explores the
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …

Bankruptcy filings are as high today as ever, calling into question the efficacy of existing
bankruptcy prediction models. This paper tries to provide an alternative for bankruptcy …

In this study, we have considered electronics product as laptop one of the essential items in
digital era. The decision-making and buying processes for laptops are time consuming and …

Phishing in an enterprise is serious issue rising in wide scale and complexity, as phishers
use email phishing via obfuscated, malicious or phished URLs and continuously adapt or …

The problem of phishing attacks in enterprise is next issue rising in wide scale and
complexity, as phishers use email phishing via obfuscated, malicious or phished URLs and …

The interest in neuro {fuzzy systems has grown tremendously over the last few years. First
approaches concentrated mainly on neuro {fuzzy controllers, whereas newer approaches …