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IJAR
2002
98views more  IJAR 2002»
15 years 6 months ago
Contradiction sensitive fuzzy model-based adaptive control
Fuzzy model-based adaptive control, unlike traditional fuzzy control, extracts expert knowledge from data by using model identification techniques. In this paper, we propose an an...
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurit...
IJON
2002
98views more  IJON 2002»
15 years 6 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori
ICALT
2008
IEEE
16 years 1 months ago
Expertise Measure for Dynamic Task Selection within Intelligent Educational Systems
This paper presents a task selection model for personalised educational instruction. The proposed model is based on the student expertise level and it takes into account performan...
François Courtemanche, Mehdi Najjar, Andr&e...
ICALT
2006
IEEE
16 years 19 days ago
Neuro Fuzzy Reasoner for Student Modeling
This paper presents a neuro-fuzzy system that can be used for student modeling. The proposed system enables classification of students based on qualitative observations of their c...
Zoran Sevarac
IJCNN
2006
IEEE
16 years 18 days ago
Nominal-scale Evolving Connectionist Systems
— A method is presented for extending the Evolving Connectionist System (ECoS) algorithm that allows it to explicitly represent and learn nominal-scale data without the need for ...
Michael J. Watts