基于网络大数据建模对甘肃旅游现状分析

Analysis on the Current Situation of Tourism in Gansu Province Based on Network Big Data Modeling

甘肃省有绝美的自然地貌和独特的丝路文化,拥有许多天然草场、草原碧绿、湖泊清澈的夏季景观、多样的地貌、大漠的风光。该文运用大数据方法分析各个因素数据,找出决定性因素,对甘肃旅游市场现状、旅游资源特色和未来发展趋势进行了剖析,做出了预测指标,并评价深度学习方法、灰色神经网络等机器学习技术在不同周期下对旅游需求建模与预测中产生的效果。

Gansu Province has beautiful natural landforms and unique Silk Road culture,and has many natural grasslands,summer landscapes with green grasslands and clear lakes,diverse landforms and desert scenery.This paper uses the method of big data to analyze the data of various factors and find out the decisive factors,analyze the present situation,the characteristics of tourism resources and the future development trend of the tourism market in Gansu and make prediction indexes,and evaluate the effects of machine learning techniques such as deep learning methods and grey neural network on tourism demand modeling and prediction in different periods.