Impedance Spectroscopy Genetic Programming
Impedance Spectroscopy by Genetic Programming (ISGP) has been developed to solve the ill-posed inverse problem of seeking a distribution function of relaxation times (DFRT) from IS experimental results. The a-priori knowledge used is to assume the Debye kernel for dielectric systems, and to assume that the DFRT is a combination of simple peaks. An evolutionary programming technique, GP, is used in order to identify "the best" DFRT. Assessment of each model is done taking into account its complexity and the fitness of its prediction to the measured data.
ISGP is free!
The relevant papers and abstracts can be found under Publications in this site.
Our new version of ISGP2 is out! It runs using Python
This older version of ISGP runs on Windows using Matlab 2018a.
If the program helps you, please cite us properly, for instance:
Tesler et al., J. Electroceramics, and: Tsur and Baltianski, Rare Metal Materials and Engineering, 35, 452-454 Suppl. 3, (2006).
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