Nonlinear functional analysis and its applications
Nonlinear functional analysis and its applications
BAC0N.5: the discovery of conservation laws
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
Prediction of recursive real-valued functions from finite examples
JSAI'05 Proceedings of the 2005 international conference on New Frontiers in Artificial Intelligence
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This paper proposes a method of discovering some kinds of differential equations with interval coefficients, which characterize or explain numerical data obtained by scientific observations and experiments. Such numerical data inevitably involve some ranges of errors, and hence they are represented by closed intervals in this paper. Usingth ese intervals, we design some interval inclusions which approximate integral equations equivalent to the differential equations. Interval coefficients in the differential equations are determined by solvingthe interval inclusions. Many combinations of interval coefficients can be obtained from numerical data. Based on these interval coefficients, the refutability of differential equations is discussed. As a result, we can identify a differential equation. The efficiency of our discoveringmeth od is verified by some simulations.