Parties d'ouvrages collectifs (21)
7.
Bontempi, G., Birattari, M., & Bersini, H. (2001). Lazy Learning: a local method for supervised learning. In L. C. Jain & J. J. Kacprzyk (Eds.), New Learning Paradigms in Soft Computing (pp. 97-137). Heidelberg: Physica-Verlag.
8.
Bersini, H. (1999). The Endogenous Double Plasticity of the Immune Network and the Inspiration to be drawn for Engineering Artifacts. In Artificial Immune Systems and their applications (pp. 22-44). Springer.
9.
Bersini, H., & Gorrini, V. (1996). Adaptive Fuzzy Systems for Modelling Static and Dynamic Processes. In J. F. Baldwin (Ed.), Fuzzy Logic (pp. 125-133). Wiley.
10.
Bersini, H. (1996). Fuzzy-Evolutionary Systems. In Handbook of Fuzzy Computation.
11.
Bersini, H. (1996). On-line Self-Structuring Fuzzy Inference Systems for Function Approximation. In E. Sanchez, T. Shibata, & L. A. Zadeh (Eds.), Genetic algorithms and fuzzy logic systems: soft computing perspectives. World Scientific.(Advances in Fuzzy Systems - Applications and Theory, 7).
12.
Bersini, H., & Calenbuhr, V. V. (1996). Frustration in Biological Networks: A source of diversity and instability. In F. Schweitzer (Ed.), Self-Organization of Complex Structures: From Individual to Collective Dynamics. London: Gordon and Breach.
13.
Saerens, M., Renders, J.-M., & Bersini, H. (1995). Neurocontrollers based on backpropagation algorithm. In M. Gupta & N. Sinha (Eds.), IEEE Press Book on Intelligent Control Systems (pp. 292-326). IEEE Computer Society Press.
14.
Bersini, H., & Gorrini, V. (1995). An Empirical Analysis of One Type of Direct Adaptive Fuzzy Control. In H. Li & M. Gupta (Eds.), Fuzzy logic and intelligent systems: theory and application (pp. 289-309). Kluwer Academic Publisher.(International Series in Intelligent Technologies, 3).
15.
Renders, J.-M., Saerens, M., & Bersini, H. (1995). Adaptive Neurocontrol of a Certain Class of MIMO Discrete-Time Processes Based on Stability Theory. In K. Hunt, G. Irwin, & K. Warwick (Eds.), Neural Network Engineering in Dynamic Control Systems. Springer.(Advances in industrial control).
16.
Bersini, H. (1995). Towards a Connectionist Model of Action Sequences, Active Vision and Breakdowns. In G. Dorffner (Ed.), Neural networks and a new artificial intelligence. Chapman and Hall.
17.
Bersini, H., & Varela, F. (1993). The Immune Learning Mechanisms: Recruitment Reinforcement and their applications. In R. Patton (Ed.), Computing with Biological Metaphors. Chapman & Hall.
18.
Bersini, H. (1991). A Cognitive Model of Goal-Oriented Automatisms and Breakdowns. In B. Smith (Ed.), Artificial Intelligence and Simulation of Behaviour. Springer-Verlag.