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A Development Of A Game-Theoretic Artificially Intelligent Neural Network Revenue Management Forecasting Model, Fatemeh Binesh
A Development Of A Game-Theoretic Artificially Intelligent Neural Network Revenue Management Forecasting Model, Fatemeh Binesh
UNLV Theses, Dissertations, Professional Papers, and Capstones
The aim of this dissertation is to create and test a risk induced game-theoretic price forecasting model. The models were tested with datasets from 3 Upper Midscale hotels in 3 locations (urban, interstate and suburb), one hotel from each location. The data was obtained from STR, a leading hospitality marketing company which consolidates all of the daily hotel data from hotels in the United States. Multiple error measures were used to compare the accuracy of models. Three LSTM models were proposed and tested; LSTM model 1 that relied on ADR to forecast ADR, LSTM model 2 that used ADR, supply, …