Abstract
Shape memory alloys are specific materials which have the ability to change their shape and transform to some memorized state, which is caused by changing in their temperature. This materials are often biocompatible which enables their use in medicine. Martensite thermoelastic transformation from martensite to austenite, and vice versa, is a key process which enables shape changing of shape memory alloys. Starting and finishing temperatures of the martensite transformation, as well as starting and finishing temperatures of the austenite transformation depends on the physical and chemical characteristic of the alloy. This work considers the possibility of using the artificial intelligence based system for predicting the characteristic transformation temperatures of the shape memory alloys.
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