1. Performance and Parsimony in Training Deep Neural Networks Open Access Author: Aguasvivas Manzano, Sarah Title: Performance and Parsimony in Training Deep Neural Networks Graduate Program: Aerospace Engineering Keywords: neural networksmodel parsimonyMLPSimulated Annealing File: Download Sarah_Aguasvivas_Manzano__3_.pdf Committee Members: Lyle N. Long, Thesis Advisor/Co-Advisor
2. Statistical and Deep Learning Time Series Forecasting for Inventory Optimization of Agricultural Products Open Access Author: Dighe, Snehal Machhindra Title: Statistical and Deep Learning Time Series Forecasting for Inventory Optimization of Agricultural Products Graduate Program: Industrial Engineering (MS) Keywords: Time Series ForecastingDemand ForecastingSARIMAMLPLSTMInventory OptimizationNewsvendor ModelExploratory Data AnalysisUser InterfaceSeasonality Study File: Download Thesis_MSIE_Snehal_Machhindra_Dighe.pdf Committee Members: Steven Landry, Program Head/ChairSoundar Kumara, Thesis Advisor/Co-AdvisorKamesh Madduri, Committee MemberPaul Griffin, Thesis Advisor/Co-Advisor
