首页|Researcher at SEGi University Releases New Data on Artificial Intelligence (An A rtificial Intelligence Prediction Approach for Behavioral Intentions of Health T ourism: a Protection Motivation Theory-based Perspective)
Researcher at SEGi University Releases New Data on Artificial Intelligence (An A rtificial Intelligence Prediction Approach for Behavioral Intentions of Health T ourism: a Protection Motivation Theory-based Perspective)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news originating from SEGi Univer sity by NewsRx correspondents, research stated, “This study applies an artificia l intelligence (AI) method, informed by the Protection Motivation Theory (PMT), to predict the behavioral intentions of tourists in a healthy town in Yunnan.” Our news correspondents obtained a quote from the research from SEGi University: “This study looks at online search data to guess when a lot of tourists will co me by combining text mining with the SPCA-LSTM model. This model combines season al and trend decomposition using Loess (STL) with Long Short-Term Memory (LSTM) networks. The model is more accurate than traditional forecasting methods and pr ovides a daily average tourist flow estimate of 3,247 with minimal prediction er rors. The average absolute error of 806.4074 and the root mean square error (RMS E) of 959.775 further highlight the model’s performance.”
SEGi UniversityArtificial IntelligenceEmerging TechnologiesMachine LearningTourismTravel
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