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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 intelligence
Computational neurogenetic modeling
Connectionism
Data stream mining
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Identification of Osteoporosis by Evaluate Femur Radiograph using Simple Evolving Connectionist Systems (SECoS)
M. F. N. Putra
2015
Corpus ID: 114428499
Digital image processing techniques will be applied to improve image quality and segmentation based ROI. Each ROI is adjust for…
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2015
2015
Evolving Connectionist Systems for Adaptive Learning and Knowledge Discovery : The Past, The Present and The Future
N. Kasabov
2015
Corpus ID: 57031509
2011
2011
Evolving Clonal Adaptive Resonance Theory based on ECOS theory
Jose Lima Alexandrino
,
C. Zanchettin
,
E. Filho
The International Joint Conference on Neural…
2011
Corpus ID: 6111076
The present work describes an evolution of the hybrid immune approach called Clonart (Clonal Adaptive Resonance Theory) using…
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2009
2009
SISTEMAS CONEXIONISTAS EVOLUTIVOS
D. F. Leite
,
Pyramo Costa
,
F. Gomide
2009
Corpus ID: 53631622
The aim of this study is to introduce the concept of evolving connectionist systems (ECOS) and to suggest a framework for…
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Review
2008
Review
2008
Fuzzy-Neuro Systems for Local and Personalized Modelling
N. Kasabov
,
Q. Song
,
T. Ma
2008
Corpus ID: 60315023
This chapter presents a review of recently developed fuzzy-neuro models for local and personalised modelling and illustrates them…
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2005
2005
Connectionist model for distributed adaptive network anomaly detection system
M. F. Pasha
,
R. Budiarto
,
M. Syukur
International Conference on Machine Learning and…
2005
Corpus ID: 23877267
When diagnosing network problems, it is desirable to have a view of the traffic inside the network. This can be achieved by…
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2004
2004
Evolving connectionist systems: Characterisation, simplification, formalisation, explanation and optimisation
Michael J. Watts
2004
Corpus ID: 59887956
There are several well-known problems with conventional ar tificial neural networks (ANN), such as difficulties with selecting…
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2004
2004
A General Framework for Adaptive Anomaly Detection with Evolving Connectionist Systems
Yihua Liao
,
V. Vemuri
,
Alejandro Pasos
SDM
2004
Corpus ID: 16724174
A new adaptive anomaly detection framework, based on the use of unsupervised evolving connectionist systems, is proposed to…
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2003
2003
Adaptive Neural Networks , Gene Networks , and Evolutionary Systems – Real and Artificial Evolving Intelligence
N. Kasabov
2003
Corpus ID: 13050825
The paper presents an integrated approach to building evolving artificial intelligent systems in terms of evolving connectionist…
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1989
1989
New Environments, New Organizations: Who Manages the Evolving MIS Challenge?
L. P. Huggins
,
A. Flynn
1989
Corpus ID: 62639972
The integration of computers and robotics is changing the face of American and international industry. Unfortunately, American…
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