Zobrazeno 1 - 10
of 24
pro vyhledávání: '"David William Pearson"'
Autor:
David William Pearson
Publikováno v:
International Journal of Applied Mathematics and Computer Science. 17:107-112
Data Probes, Vertical Trajectories and Classification: A Tentative StudyIn this paper we introduce a method of classification based on data probes. Data points are considered as point masses in space and a probe is simply a particle that is launched
Autor:
Mark McCartney, David William Pearson
Publikováno v:
Teaching Mathematics and its Applications. 21:161-171
Autor:
Eric Marcon, Marie-Reine Boudarel, G. Mnemoi, P. Albert, David William Pearson, Béatrix Besombes
Publikováno v:
European Journal of Operational Research. 138:663-670
We are interested in the problem of the mathematical modelling and simulation of groups of small enterprises. This is where a network of small enterprises is established in order to achieve a global objective. Each enterprise contributes to the netwo
Publikováno v:
Environmental Modelling & Software. 15:647-652
Air pollution is one of the primary environmental concerns in France due to the public health question. People wish to be informed of the air pollution level in real time or to be warned in advance of a peak of pollution. The goal of this study is to
Autor:
David William Pearson
Publikováno v:
Neurocomputing. 11:43-54
In this paper we study the local approximation problem, i.e. given a certain type of control system described by a set of differential equations can we construct an artificial neural network of Hopfield type that is a local approximation (in a well d
Autor:
David William Pearson
Publikováno v:
Neurocomputing. 8:305-314
Recurrent neural network state-space trajectories can be considered as local one-parameter transformation groups. If such a group transforms the solution of a certain equation to another solution of the same equation then the group is referred to as
Autor:
David William Pearson
Publikováno v:
Neurocomputing. 8:157-170
In this paper we study continuous time nonlinear artificial neural networks of Hopfield type using geometrical and topological methods. A particularly useful geometrical concept, the Lie algebra of analytical vector fields, is employed. Under certain
Publikováno v:
Adaptive and Natural Computing Algorithms ISBN: 9783642049200
ICANNGA
ICANNGA
The Levenstein or edit distance was developed as a metric for calculating distances between character strings.We are looking at weighting the different edit operations (insertion, deletion, substitution) to obtain different types of classifications o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abe4460a32fd0ec9562289d809ada9c2
https://doi.org/10.1007/978-3-642-04921-7_34
https://doi.org/10.1007/978-3-642-04921-7_34
Autor:
David William Pearson
Publikováno v:
Adaptive and Natural Computing Algorithms ISBN: 9783540715894
ICANNGA (1)
ICANNGA (1)
In this paper we look at a dynamic method for analysing data, called a data probe. The probe flies through the data space and is affected by the proximity and number of data points. The trajectory followed by the probe provides information about how
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d8b76c645cee55d48a6b9f4aa0d14c6
https://doi.org/10.1007/978-3-540-71618-1_85
https://doi.org/10.1007/978-3-540-71618-1_85
Publikováno v:
Adaptive and Natural Computing Algorithms ISBN: 3211249346
In this paper we present a method that leads to the improvement of a subtractive clustering model by modifying the centres. In order to keep within certain bounds, a centre is modified by rotating it.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a5369310cd8a345b03cc79442ebb41d
https://doi.org/10.1007/3-211-27389-1_33
https://doi.org/10.1007/3-211-27389-1_33