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- Nikos E. Mastorakis, Ioannis F. Gonos, M. N. Shanmukha Swamy
- IEEE Trans. on Circuits and Systems
- 2004

In this paper, we examine a new design method for two-dimensional (2-D) recursive digital filters using genetic algorithms (GAs). The design of the 2-D filter is reduced to a constrained minimization problem the solution of which is achieved by the convergence of an appropriate GA. Theoretical results are illustrated by a numerical example. Also, comparison… (More)

- Valeri Mladenov, Nikos E. Mastorakis
- IEEE Trans. Neural Networks
- 2001

A new design method for two-dimensional (2-D) recursive digital filters is investigated. The design of the 2-D filter is reduced to a constrained minimization problem the solution of which is achieved by the convergence of an appropriate neural network. The method is tested on a numerical example and compared with previously published methods when applied… (More)

In this paper, we consider a problem that arises in black box testing: generating small test suites (i.e., sets of test cases) where the combinations that have to be covered are specified by input-output parameter relationships of a software system. That is, we only consider combinations of input parameters that affect an output parameter, and we do not… (More)

The study of the stability of -dimensional systems is a difficult one especially when 3. There exist only a few results in the literature and unfortunately, there does not exist any practical criterion. In this brief, the stability of an -dimensional system is dealt as a minimization problem of the absolute value of its characteristic polynomial over the… (More)

In this paper, a new fast algorithm for information retrieval is presented. Such algorithm relies on performing cross correlation in the frequency domain between input data and the input weights of fast neural networks (FNNs). It is proved mathematically and practically that the number of computation steps required for the presented FNNs is less than that… (More)

In this brief, the margin of stability of two-dimensional (2D) discrete systems is considered. A new method to compute the stability margin of 2-D continuous systems is provided. Illustrative examples are also included.

In this paper a new method for solving (non-linear) ordinary differential equations is proposed. The method is based on finite elements (collocation method) as well as on genetic algorithms. The method seems to have some advantages in comparison with the typical sequential (one – step and multi – step) methods. Key-Words: Ordinary Differential Equations,… (More)

This paper presents a methodology for the design of fuzzy logic power system stabilizers using genetic algorithms. In the proposed fuzzy expert system, speed deviation and its derivative have been selected as fuzzy inputs. In this approach genetic algorithm have been used for tuning the parameters of the fuzzy logic controllers. Incorporation of GA in the… (More)

In this paper, we study different types of non-additive set multifunctions (such as: uniformly autocontinuous, null-additive, null-null-additive), presenting relationships among them and some of their properties regarding atoms and pseudo-atoms. We also study non-atomicity and non-pseudo-atomicity of regular null-additive set multifunctions defined on the… (More)

- Nikos E. Mastorakis
- Int. J. Systems Science
- 1996

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