Research Article

An Intelligent Passenger Flow Prediction Method for Pricing Strategy and Hotel Operations

Table 3

Training predictive results of each model.

TimeThe number of actual arrival bookingsLSTMANNSVR

July 2016985980.4311990.0974986.3615
August 201611071106.75701115.82251096.7277
September 201610681069.12881106.38891069.8033
October 210614171270.17941361.71971253.9491
November 201610561057.23781069.84131056.4465
December 201610561056.27521076.88991055.1749
January 201711031103.15091051.78951102.1410
February 201711951192.08121163.54471193.9570
March 201711641161.69751229.67711164.1725
April 201712051203.03631187.07141219.8078