## 4 Conclusions  
The rheological behavior and softening mechanisms in an AMg6/10% SiC metal matrix composite at temperatures from 300 to 500 C and strain rates ranging between 0.1 and 4 s-1 have been studied. It has been found from mechanical tests that, for the studied range of thermomechanical action, the flow stress curve has a peak value shifted towards higher strains with decreasing temperature and increasing strain rate in the entire range of temperatures and strain rates. This rheological behavior of the composite is due to the interaction of hardening and softening processes. In order to study the mechanisms of softening occurring during deformation, neural networks were built, which required the development of a new technique for processing experimental data, which allows one to form a training sample necessary for a correct description of the initial experimental data by the neural networks. The constructed neural networks have made it possible to describe the evolution of the average grain diameter, and the fraction and density of low-angle boundaries depending on strain, strain rate, and deformation temperature with acceptable accuracy. The use of neural networks together with EBSD images of the formed microstructure during deformation has allowed us to identify the occurrence of the following relaxation mechanisms depending on the thermomechanical conditions of deformation:  
1. At a temperature of 300 C and strain rates ranging between 0.1 and 4 s-1, the composite matrix softens by dynamic recovery and continuous recrystallization, and when a certain value of strain is reached, geometric recrystallization occurs in some grains. At the same time, the strain at which geometric recrystallization starts to intensify in the grains shifts towards lower strains with an increasing strain rate.
2. At a temperature of 350 C, geometric recrystallization, together with continuous recrystallization, occurs in the composite matrix at strain rates above 3 s-1.
3. At temperatures from 400 to 500 C and strain rates ranging between 0.1 and 4 s-1, the main softening processes are dynamic recovery and continuous dynamic recrystallization.  
**Author Contributions:** Conceptualization, A.S.; methodology, A.S. and V.K.; validation, A.S. and V.K.; formal analysis, A.S. and V.K.; investigation, A.S. and V.K.; writing--original draft preparation, A.S. and V.K.; writing--review and editing, A.S. and V.K.; project administration, A.S. and A.K.; funding acquisition, A.S. All authors have read and agreed to the published version of the manuscript.  
This research was funded by the RSF (project No. 22-29-00428) in the part of constructing models of metal matrix composites.  
Not applicable.  
**Data Availability Statement:** The data presented in this study are available on request from the corresponding author.  
The Plastometriya shared the research facilities of the IES UB RAS, and the shared research facilities of the B. N. Yeltsin Ural Federal University were used. The work on studying the rheological properties of the composites was performed within the research conducted by the Institute of Engineering Science, Ural Branch of the Russian Academy of Sciences, project No. AAAA-A18-118020790140-5.  
The authors declare that they have no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.