Data Scientist
sandy dasari
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Posted Nov 19, 2024
Developed a neural network approach in ANSYS-APDL, reducing time complexity by 90%, and used deep learning models.
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Implemented a highly efficient algorithm in ANSYS-APDL, leveraging the power of numpy and pandas libraries to achieve a remarkable ANSYS-APDL90% reduction in time complexity. The algorithm was designed for processing acquired data, and further analysis involved training linear regression deep learning models. This approach was instrumental in conducting primary and secondary research to extract valuable insights into the dependency of material properties on non-dimensional geometric parameters.