The analytic network process (ANP) is a useful technique for multi-attribute decision analysis
(MCDA) that employs a network representation to describe interrelationships between …

In this work, we evaluate different classification algorithms used for multi-target detection in
hyperspectral imaging. We took into consideration the scenario of landmine detection in …

Harmonic estimation is considered the most crucial part in harmonic mitigation process in
power system. Artificial intelligent based on pattern recognition techniques is considered …

This paper aims to propose a fuzzy classifier, which is a one-class-in-one-network structure
consisting of multiple novel single-layer perceptrons. Since the output value of each single …

In this paper, two radial basis function neural networks (RBFNNs) are used to dynamically
identify harmonics content in converter waveforms based on the pq (real power-imaginary …

There has been a recent increase in the use of network models for representing interactions
and structure in many complex systems. In this thesis we introduce the use of spatial process …

In this book ‚'Innovative Issues in Intelligent Systems,'a broad variety of different
contemporary IT methods and applications is displayed. Every book chapter represents a …

Information technology has virtually altered every aspect of human life in the present era.
The application of informatics in the health sector is rapidly gaining prominence and the …

In this paper a learning algorithm for creating a Growing Radial Basis Function Network
(RBFN) Model is presented and analyzed. The main concept of this algorithm is that the …

In this paper a multi-step learning algorithm for creating a Growing Radial Basis Function
Network (RBFN) Model is presented and analyzed. The main concept of the algorithm is to …