Sum of Exponential Model for Fitting Data

Sum of Exponential Model for Fitting Data

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As an approach to feature estimation, exponential fitting has attracted Door Knobs research interests in mathematical modeling.Semantic networks are used for numerous applications in computers, physics, and biology.However, such applications may have fitting troubles with various mathematical tools.Therefore, we present a novel method of fitting 2n data points of a signal to a sum of n exponential Low Power Schottky functions.The experiments proved that the proposed method operated well for linear and nonlinear functions, as its algorithm was straightforward, practical, and easy to determine.

At the same time, the computational intricacy was considerably low, which has specific worth in use.