GitHub - AndrewMessecar/ANNs_for_Epitaxy_Data: Project focused on optimizing artificial neural network (ANN) algorithms to generalize from experimental data describing the epitaxial synthesis of thin film semiconductor crystals. Incentivized by a project assignment in a CS 5300 - Artificial Neural Systems course taken at Western Michigan University.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
Artificial Neural Networks - Grid Search Optimization		Artificial Neural Networks - Grid Search Optimization
.gitignore		.gitignore
Design_Presentation.pdf		Design_Presentation.pdf
NOT_FINAL_Design_Doc.docx		NOT_FINAL_Design_Doc.docx
Preliminary_Specification_Design_Document.pdf		Preliminary_Specification_Design_Document.pdf
Project_Proposal.pdf		Project_Proposal.pdf
PseudoCode.py		PseudoCode.py
epoch_0_plot.png		epoch_0_plot.png
epoch_500_plot.png		epoch_500_plot.png
main.py		main.py

About

Project focused on optimizing artificial neural network (ANN) algorithms to generalize from experimental data describing the epitaxial synthesis of thin film semiconductor crystals. Incentivized by a project assignment in a CS 5300 - Artificial Neural Systems course taken at Western Michigan University.

cs.wmich.edu/~elise/courses/cs530/home.htm

plasma optimization hyperparameter-optimization artificial-neural-networks spectroscopy hyperparameter-tuning semiconductors