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Evolving classification function

Evolving classification functions (ECF), evolving classifier functions or evolving classifiers are used for classifying and clustering in the field… 
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Related topics

Related topics

9 relations
Artificial intelligenceComputational neurogenetic modelingConnectionismData stream mining

Papers overview

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2011
2011
Mechanistic-Based Characterization of Non-Linear Pavement Mechanical Properties with Evolving Intelligent Information Processing Systems
The backcalculation methodology is an inverse process to determine in-situ materials stiffness of pavement layer from Non… 
2009
2009
SISTEMAS CONEXIONISTAS EVOLUTIVOS
The aim of this study is to introduce the concept of evolving connectionist systems (ECOS) and to suggest a framework for… 
Review
2008
Review
2008
Fuzzy-Neuro Systems for Local and Personalized Modelling
This chapter presents a review of recently developed fuzzy-neuro models for local and personalised modelling and illustrates them… 
2005
2005
Connectionist model for distributed adaptive network anomaly detection system
When diagnosing network problems, it is desirable to have a view of the traffic inside the network. This can be achieved by… 
2004
2004
Evolving connectionist systems: Characterisation, simplification, formalisation, explanation and optimisation
There are several well-known problems with conventional ar tificial neural networks (ANN), such as difficulties with selecting… 
2004
2004
A General Framework for Adaptive Anomaly Detection with Evolving Connectionist Systems
A new adaptive anomaly detection framework, based on the use of unsupervised evolving connectionist systems, is proposed to… 
2003
2003
An Ontology Engineering Approach For Knowledge Discovery From Data In Evolving Domains
Knowledge discovery in evolving domains presents several challenges in information extraction and knowledge acquisition from… 
Review
2000
Review
2000
Neuro-Genetic Information Processing for Optimisation and Adaptation in Intelligent Systems
This chapter describes the intersection of two areas of artificial intelligence research, genetic algorithms and neural networks… 
1999
1999
Evolving Fuzzy Neural Networks for Adaptive, On-line Intelligent Agents and Systems
. This paper discusses and illustrates one paradigm of neuro-fuzzy techniques for building on-line, adaptive intelligent agents… 
1998
1998
Evolving Connectionist Systems and Evolving Brains
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