Research Article
An Intelligent Passenger Flow Prediction Method for Pricing Strategy and Hotel Operations
Table 3
Training predictive results of each model.
| Time | The number of actual arrival bookings | LSTM | ANN | SVR |
| July 2016 | 985 | 980.4311 | 990.0974 | 986.3615 | August 2016 | 1107 | 1106.7570 | 1115.8225 | 1096.7277 | September 2016 | 1068 | 1069.1288 | 1106.3889 | 1069.8033 | October 2106 | 1417 | 1270.1794 | 1361.7197 | 1253.9491 | November 2016 | 1056 | 1057.2378 | 1069.8413 | 1056.4465 | December 2016 | 1056 | 1056.2752 | 1076.8899 | 1055.1749 | January 2017 | 1103 | 1103.1509 | 1051.7895 | 1102.1410 | February 2017 | 1195 | 1192.0812 | 1163.5447 | 1193.9570 | March 2017 | 1164 | 1161.6975 | 1229.6771 | 1164.1725 | April 2017 | 1205 | 1203.0363 | 1187.0714 | 1219.8078 |
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