Application of Support Vector Machine (SVM) to Forecast Climate and Consumption Intention-In a restaurant in the northern Case

碩士 === 國立臺中科技大學 === 資訊工程系碩士班 === 106 === In this study, we adopt support vector machine (SVM) to predict the restaurant sales volume according to the weather information. With climate-related open data of the Central Weather Bureau including the minimum temperature, maximum temperature, average temp...

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Bibliographic Details
Main Authors: Yu-Ling Liu, 劉育玲
Other Authors: 陳同孝
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/xv86uc