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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

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Artificial intelligenceComputational neurogenetic modelingConnectionismData stream mining

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Breast cancer identification on digital mammogram using Evolving Connectionist Systems
This research aims to develop a system which can help radiologists to identify the symptoms of breast cancer, using Evolving… 
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… 
2009
2009
Soft Computing Methods for Global, Local and Personalized Modeling and Applications in Bioinformatics
The paper is a comparative study of major modeling and pattern discovery approaches applicable to the area of Bioinformatics and… 
2008
2008
Facial expression recognition using 2-D DCT of binarized edge images and constructive feedforward neural networks
Computer-based automatic human facial expression recognition (FER) is fundamental and indispensable in realizing truly… 
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
A Methodology and a System for Adaptive, Integrated Speech and Image Learning and Recognition
ABSTRACT The paper presents a novel approach towards building adaptive speech processing systems based on the evolving… 
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… 
2000
2000
A Methodology and a System for Adaptive Speech Recognition in a Noisy Environment Based on Adaptive Noise Cancellation and Evolv- ing Fuzzy Neural Networks
Speech and signal processing technologies need new methods that deal with the problems of noise and adaptation in order for these… 
1999
1999
Evolving Connectionist and Fuzzy-Connectionist Systems for On-line Adaptive Decision Making and Control
The paper contains a discussion material and preliminary experimental results on a new approach to building on-line, adaptive… 
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