RETRACTED: Online sports tourism platform based on FPGA and machine learning

Abstract

Machine Learning (ML) is one of the intelligent methods shown promising results in the classification and prediction of structural domains. It is a large amount of money for the prediction area's sport to be increasingly expanding and needs a good prediction accuracy related to the cause bet. Sport tourism sports, to participate in leisure and entertainment purposes, will be driven. Activities. However, passive sports tourism visited the sport; are traveling for leisure or leisure activities. Sports tourism is an area that has experienced rapid growth in global tourism. Sports tourism, nostalgic sports tourism, active sports tourism, and passive Sports Tourism: Sports tourism can be divided into four types. At a phenomenal growth rate of the sports tourism industry, it has now attracted these travelers' facilities to increase your sports-related business time—the impact of sports tourism in support of tourism development. The sum of the questionnaire is used to collect information from Aqaba residents. It is to do multiple regression analysis to verify the hypothesis of the study. While the social impact variable does not significantly impact, it indicates that the current research results, two independent variables support tourism development that has a significant impact. From his empirical data and other research, he is about the launch of motivation and sports tourism. The front to answer the question, equipped with plan expectations and itinerary, and a specific network is a sporting event. It determines the travel; after the actual realization of this trip, it means nothing in terms of decided to participate. The correct access to data on sports and tourism competitiveness, it also, to determine an effective way of the corresponding policy, is necessary to provide the relevant local government's criteria.