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ASC
2008
13 years 7 months ago
Morphic computing
Morphic Computing is based on Field Theory [14-16] and more specifically Morphic Fields. Morphic Fields were first introduced by [18] from his hypothesis of formative causation tha...
Germano Resconi, Masoud Nikravesh
ASC
2008
13 years 7 months ago
Dynamic data assigning assessment clustering of streaming data
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Olga Georgieva, Frank Klawonn
ASC
2007
13 years 7 months ago
Unsupervised learning with normalised data and non-Euclidean norms
The measurement of distance is one of the key steps in the unsupervised learning process, as it is through these distance measurements that patterns and correlations are discovere...
Kevin Doherty, Rod Adams, Neil Davey
ASC
2007
13 years 7 months ago
Development of a soft computing-based framework for engineering design optimisation with quantitative and qualitative search spa
Most real world engineering design optimisation approaches reported in the literature aim to find the best set of solutions using computationally expensive quantitative (QT ) mode...
Victor Oduguwa, Rajkumar Roy, Didier Farrugia
ASC
2004
13 years 7 months ago
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution
In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for t...
George D. Magoulas, Vassilis P. Plagianakos, Micha...