Yankov K. Recognition and Function Association of Experimental Data

Proc. of the Int. Conference on Information Technologies (InfoTech-2009). St.St.Constantine and Elena resort, sept.17-20, 2009, Varna, Bulgaria.pp.131-140.
Abstract. In this paper a system for recognition of experimental data and their association with an appropriate function is presented. A training set of functions and quality feature differences between them are formulated. The experimental data are normalized in the square [0,1]x[0,1] and the procedure for system identification is applied to recognize the most suitable function. An example of the method is given with identification of contraction of smooth muscle strips after hormone treatment.