Machine learning example running on MSP430, not intermittent-safe. It uses fixed-points.
Just clone/download the repository and import the project in CCS, build and run.
The main function dynamically allocates an Artificial Neural Network (ANN) using network parameters provided in database/xor_trained.h. This header file is constructed from database/xor_trained.net.
After the ANN has been allocated, 4 input tests are fed to the network, and the resulting inference is compared with the expected output. Input and output vectors are provided in database/xor_test.h.
The project was built and tested with the latest MSP430 compiler version (17.9.0). If you don't have it, please download it from CCS by going to Help > Install New Software and typing "Code Generation Tools Updates" in the search bar. On Linux distributions you may have to run CCS as a superuser, e.g. in Ubuntu
sudo /opt/ti/ccsv7/eclipse/ccstudioWhen importing the CCS project, some systems may cut out some of the compiler flags needed to build this project without errors. To make sure all your compiler flags are set correctly, have a look at this list and compare it with your project's compiler settings in Project > Properties > CCS Build.