We study features of a recentrly proposed computer architecture which models a dynamical system. We generalize the model and give some central issues. We apply the basin complexity as a measure and exemplify the use of the system for pattern recognition.Nous étudions les propriétés d'une architecture d'ordinateurs proposée récemment qui modelise un système dynamique. Nous généralisons le modèle et explicitons quelques questions importantes. Nous utilisons la complexité du bassin d'attraction comme mesure et illustrons l'utilité de ce système pour la reconnaissance de formes
The purpose of this research is to realize a self-organizing map of dynamical systems. In other word...
This paper presents symbolic time series analysis (STSA) of multi-dimensional measurement data for p...
This paper defines a new recursive pattern matching model based on the theory of the systemic functi...
We demonstrate a novel application of nonlinear systems in the design of pattern classification syst...
This paper deals with the problem of classifying patterns encountered in complex systems. It describ...
Abstract: A fast and reliable method for categorization of patterns that may be encountered in compl...
A fast and reliable method for categorization of patterns that may be encountered in complex systems...
The main motivation of this paper is to develop some methods or techniques that will allow us to stu...
We demonstrate a novel application of nonlinear systems in the design of pattern classi!cation syst...
AbstractUseful computation can be performed by systematically exploiting the phenomenology of nonlin...
We present the modeling of dynamical systems and finding of their complexity indicators by the use o...
The paper is focused on how chaotic patterns, occurring in nature, might be used by biological organ...
We proposes an autonomous dynamical pattern recognition and learning system. It is demonstrated that...
My work concerns the dynamics of some data structures and complex systems. We presented a combinator...
Reservoir Computing has emerged as a practical approach for solving temporal pattern recognition pro...
The purpose of this research is to realize a self-organizing map of dynamical systems. In other word...
This paper presents symbolic time series analysis (STSA) of multi-dimensional measurement data for p...
This paper defines a new recursive pattern matching model based on the theory of the systemic functi...
We demonstrate a novel application of nonlinear systems in the design of pattern classification syst...
This paper deals with the problem of classifying patterns encountered in complex systems. It describ...
Abstract: A fast and reliable method for categorization of patterns that may be encountered in compl...
A fast and reliable method for categorization of patterns that may be encountered in complex systems...
The main motivation of this paper is to develop some methods or techniques that will allow us to stu...
We demonstrate a novel application of nonlinear systems in the design of pattern classi!cation syst...
AbstractUseful computation can be performed by systematically exploiting the phenomenology of nonlin...
We present the modeling of dynamical systems and finding of their complexity indicators by the use o...
The paper is focused on how chaotic patterns, occurring in nature, might be used by biological organ...
We proposes an autonomous dynamical pattern recognition and learning system. It is demonstrated that...
My work concerns the dynamics of some data structures and complex systems. We presented a combinator...
Reservoir Computing has emerged as a practical approach for solving temporal pattern recognition pro...
The purpose of this research is to realize a self-organizing map of dynamical systems. In other word...
This paper presents symbolic time series analysis (STSA) of multi-dimensional measurement data for p...
This paper defines a new recursive pattern matching model based on the theory of the systemic functi...