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- W1510687497 abstract "This paper describes a general method for learning the behavior of dynamical systems. It can be used to control or predict their behavior. During a first step, the values of the state variables, and their interrelations are learned from the states which actually occur in the system. This data is organized in a topological map [Kohonen 84, 88]. Secondly, by looking at examples of the evolution of the system in time, the dynamical behavior is learned through a simple generalization process. This process constructs a vector field which describes the state transitions on the state space." @default.
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- W1510687497 date "1989-01-01" @default.
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- W1510687497 title "LEARNING THE BEHAVIOR OF DYNAMICAL SYSTEMS FROM EXAMPLES" @default.
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- W1510687497 doi "https://doi.org/10.1016/b978-1-55860-036-2.50042-4" @default.
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