Searching for authors named "Jacques Mazoyer" – sorted by Relevance.
-
Signals in one dimensional cellular automata. Research Report RR 94-50, Ecole Normale Sup'erieure de
- Unité de recherche associée au CNRS n°1398
- Cited by 16 (1 self) – Add To MetaCart
-
Inducing an order on cellular automata by a grouping operation
- A grouped instance of a cellular automaton (CA) is another one obtained by grouping several states into blocks and by letting interact neighbor blocks. Based on this operation (and on the subautomaton notion), a preorder on the set of one dimensional CA is introduced. It is shown that (CA, ) admits
- Cited by 8 (0 self) – Add To MetaCart
-
Compass Permits Leader Election
- We first present a protocol to elect a unique leader of a given cycle of the planar square lattice on vertices of which synchronous communicating finite automata are placed, which know the directions of its successor and its predecessor. Thereafter, we extend it to finite parts of the planar grid, g
- Add To MetaCart
-
Algorithms for Leader Election by Cellular Automata
- . We present two cellular algorithms, in O(n) and respectively in O(w 2 ) for the leader election problem on a nite connected rings F and respectively nite connected subsets of ZZ d , of excentricity w, for any xed d. The problem consists in nding an algorithm such that when setting the elem
- Add To MetaCart
-
Laboratoire de l'Informatique du Paralllisme
- This report will appear as a contribution in the book Cellular Automata: a parallel model., M. Delorme and J.Mazoyer Eds, Mathematics and Its Applications, Kluwer $equetial iputs (SCA in this book)
- Add To MetaCart
-
Scholar Cursus
- Suprieure de Lyon, distinction: Very Good. 1990-1992 Preparation at lyce Condorcet (Paris 8). Admitted at the cole Normale Suprieure de Lyon. Extra-scholar activities Initiating new students to computers for the whole promotion of 1995; Administration of Softeleves since 1993. Softeleves is a
- Add To MetaCart
-
Neural Network Synthesis Using Cellular Encoding And The Genetic Algorithm.
- Artificial neural networks used to be considered only as a machine that learns using small modifications of internal parameters. Now this is changing. Such learning method do not allow to generate big neural networks for solving real world problems. This thesis defends the following three points: f
- Cited by 123 (5 self) – Add To MetaCart

