Communications publiées lors de congrès ou colloques nationaux et internationaux (64)
50.
Bersini, H., Bontempi, G., & Decaestecker, C. (1995). Comparing RBF and fuzzy inference systems on theoretical and practical basis. In F. Fogelman-Soulié & P. Gallinari (Eds.), ICANN '95: conférence internationale sur les Réseaux de neurones artificiels: Vol. 1 (pp. 169-174) Paris: EC2 & Cie.
51.
Bersini, H., & Detours, V. (1994). Asynchrony induces stability in cellular automata based models. In R. A. Brooks & P. Maes (Eds.), Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems (pp. 382-387) Cambridge, MA: MIT Press.
52.
Bersini, H. (1994). Reinforcement Learning for Homeostatic Endogenous Variables. In Proceedings of the Third International Conference on Simulation of Adaptive Behaviour MIT Press - Bradford Books.
53.
Renders, J.-M., & Bersini, H. (1994). Hybridizing Genetic Algorithms with Hill-Climbing Methods for Global Optimization: Two Possible Ways. Proceedings of the First IEEE Conference On Evolutionary Programming IEEE Conference On Evolutionary Programming(1)
54.
Gorrini, V., & Bersini, H. (1994). Recurrent Fuzzy Systems. Proceedings of the 3rd Conference on Fuzzy Systems Conference on Fuzzy Systems(3)
55.
Dorigo, M., & Bersini, H. (1994). A Comparison of Q-learning and Classifier Systems. In D. Cliff, P. Husbands, J.-A. Meyer, & S. W. Wilson (Eds.), From Animals to Animats: Proceedings of the Third International Conference on Simulation of Adaptive Behavior (pp. 248-255). (Complex adaptive systems). Cambridge: MIT Press/Bradford Books.
56.
Langerman, S., Seront, G., & Bersini, H. (1994). Step: The easiest way to optimize a function. Proceedings of the First IEEE Conference on Evolutionary Computation. Vol. 1 (pp. 519-524) IEEE Conference on Evolutionary Computation(1: 27-29 June 1994: Orlando, FL , USA).
57.
Bersini, H., & Seront, G. (1992). In search of a good optimization-evolution crossover. In R. Manner & B. Manderick (Eds.), Proceedings of the Second Conference on Parallel Problem Solving from Nature (pp. 479-488) New York, NY, USA: Elsevier Science Inc.
58.
Saerens, M., Soquet, A., Renders, J.-M., & Bersini, H. (1992). Some Preliminary Comparisons bewteen a Neural Adaptive Controller and a Model Reference Adaptive Controller. In Neural Networks in Robotics (pp. 131-146). (Kluwer international series in engineering and computer science: Robotics, 202). Kluwer Academic Publishers.
59.
Bersini, H., Decossaux, E., & Sotelino, L. G. (1992). Hopfield Net Generation and Encoding of Trajectories in Constrained Environment. In G. A. Bekey & K. Y. Goldberg (Eds.), Neural Networks in Robotics (pp. 113-127). (Kluwer international series in engineering and computer science: Robotics, 202). Kluwer Academic Publishers.
60.
Bersini, H., & Varela, F. (1991). Hints for Adaptive Problem Solving Gleaned from Immune Network. In H.-P. Schwefel & R. Manner (Eds.), Parallel Problem Solving from Nature (pp. 343-354). (Lecture notes in computer sciences, 496). Springer.
61.
Bersini, H., & Varela, F. (1991). The Immune Recruitment Mechanism: A Selective Evolutionary Strategy. In R. K. Belew & L. B. Booker (Eds.), Proceedings of the 4th International Conference on Genetic Algorithms (pp. 520-526) Mogan Kaufman.