Articles dans des revues avec comité de lecture (120)
  1. 94. Duchateau, A., Bradshaw, N., & Bersini, H. (1999). Multi-model solution for the control of chaos. International journal of control, 72(7), 727-739.
  2. 95. Birattari, M., Bontempi, G., & Bersini, H. (1999). Lazy learning meets the recursive least squares algorithm. Advances in neural information processing systems, 11, 375-381.
  3. 96. Bersini, H. (1999). Design patterns for an object-oriented computational chemistry. Lecture notes in computer science, 1674, 389-398. doi:10.1007/3-540-48304-7_53
  4. 97. Bersini, H. (1998). The frustrated and compositional nature of chaos in small Hopfield networks. Neural networks, 11(6), 1017-1025. doi:10.1016/S0893-6080(98)00056-2
  5. 98. Bontempi, G., Birattari, M., & Bersini, H. (1998). Recursive lazy learning for modeling and control. Lecture notes in computer science, 1398, 292-303.
  6. 99. Calenbuhr, V. V., Bersini, H., & Varela, F. (1997). Immune response towards growing- and auto-antigen in an idiotypic network model. Nonlinear analysis, 30(3), 1859-1864.
  7. 100. Bersini, H., & Calenbuhr, V. V. (1997). Frustrated chaos in biological networks. Journal of theoretical biology, 188(2), 187-200. doi:10.1006/jtbi.1997.0468
  8. 101. Renders, J.-M., Saerens, M., & Bersini, H. (1997). Fuzzy adaptive control of a certain class of SISO discrete-time processes. Fuzzy sets and systems, 85(1), 49-61.
  9. 102. Bersini, H., & Gorrini, V. (1997). A simplification of the backpropagation-through-time algorithm for optimal neurocontrol. IEEE transactions on neural networks, 8(2), 437-441.
  10. 103. Bersini, H., & Bontempi, G. (1997). Now comes the time to defuzzify neuro-fuzzy models. Fuzzy sets and systems, 90(2), 161-169. doi:10.1016/S0165-0114(97)00082-1
  11. 104. Bradshaw, N., Duchateau, A., & Bersini, H. (1997). Global least-squares vs. EM training for the gaussian mixture of experts. Lecture notes in computer science, 1327, 295-300.
  12. 105. Chatenet, N., & Bersini, H. (1997). Economical reinforcement learning for non stationary problems. Lecture notes in computer science, 1327, 284-288.
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