Add to ORKGThis paper presents the application of Networks of Evolutionary Processors to Decision Support Systems, precisely Knowledge-Driven DSS. Symbolic information and rule-based behavior in Networks of Evolutionary Processors turn out to be a great tool to obtain decisions based on objects present in the network. The non-deterministic and massive parallel way of operation results in NP-problem solving in linear time. A working NEP example is shown
TheNetworks of Evolutionary Processors (NEPs) are computing mechanisms directly inspired from the be...
This paper is focused on a parallel JAVA implementation of a processor defined in a Network of Evol...
The Networks of Evolutionary Processors (NEPs) are computing mechanisms directly inspired from the b...
* Supported by INTAS 00-626 and TIC 2003-09319-c03-03.This paper presents some connectionist models ...
This paper presents an extended behavior of networks of evolutionary processors. Usually, such nets ...
Neural networks offer an approach to computing which - unlike conventional programming - does not ne...
This paper presents the model named Accepting Networks of Evolutionary Processors as NP-problem sol...
A great deal of research eort is currently being made in the realm of so called natural computing. N...
The intermediate results of this study add to specialised, relatively restricted, research focus of ...
This thesis argues that natural complex systems can provide an inspiring example for creating softwa...
A preprocessing of data for a decision support system is proposed in which a set of points forming m...
AbstractThe Accepting Networks of Evolutionary Processors (ANEPs for short) are bio-inspired computa...
The article presents a comparative analysis of the fundamental neuroevolutional methods, which are w...
The goal of this paper is to survey, in a uniform and systematic way, the main results regarding net...
First the concept of a decision support system (dss) is described. Then the first approach, in which...
TheNetworks of Evolutionary Processors (NEPs) are computing mechanisms directly inspired from the be...
This paper is focused on a parallel JAVA implementation of a processor defined in a Network of Evol...
The Networks of Evolutionary Processors (NEPs) are computing mechanisms directly inspired from the b...
* Supported by INTAS 00-626 and TIC 2003-09319-c03-03.This paper presents some connectionist models ...
This paper presents an extended behavior of networks of evolutionary processors. Usually, such nets ...
Neural networks offer an approach to computing which - unlike conventional programming - does not ne...
This paper presents the model named Accepting Networks of Evolutionary Processors as NP-problem sol...
A great deal of research eort is currently being made in the realm of so called natural computing. N...
The intermediate results of this study add to specialised, relatively restricted, research focus of ...
This thesis argues that natural complex systems can provide an inspiring example for creating softwa...
A preprocessing of data for a decision support system is proposed in which a set of points forming m...
AbstractThe Accepting Networks of Evolutionary Processors (ANEPs for short) are bio-inspired computa...
The article presents a comparative analysis of the fundamental neuroevolutional methods, which are w...
The goal of this paper is to survey, in a uniform and systematic way, the main results regarding net...
First the concept of a decision support system (dss) is described. Then the first approach, in which...
TheNetworks of Evolutionary Processors (NEPs) are computing mechanisms directly inspired from the be...
This paper is focused on a parallel JAVA implementation of a processor defined in a Network of Evol...
The Networks of Evolutionary Processors (NEPs) are computing mechanisms directly inspired from the b...