初賽 - 休閒旅遊推薦 (Part 1)

時間 : 2025/11/08 上午 9:00 - 12:00

現場教學地點 : 國立臺南大學府城校區文薈樓J305、J306教室

線上教學網址 : https://meet.google.com/aah-cxxr-kkc 

當日將進行現場及線上同步教學轉播，教學內容為: 

• Quantum AI學習工具硬體使用方式

• KWS AI學習平台操作流程及功能介紹

• 軟硬體整合應用案例介紹

• 教學投影片參考資料 : pdf

• Quantum CI: Knowledge Model & Inference Model & Learning Model

QCI&AI-FML 學習平台: https://kws.oaselab.org/qciai/ 

下載Open CI檔案:  Travel Recommendation System 

下載推論資料:  Travel Recommendation System Inference Data  and  Inference Data formulas version 

下載推論模型規則資料:  Travel Recommendation System Inference Model RuleData 

• Quantum CI: Nature-Inspired Evolution Computation (EC) and Machine Learning (EC-ML)

• QCI&AI-FML 學習平台: https://kws.oaselab.org/qciai/ 

• 下載專家資料:  Travel Recommendation System Expert Data

• 下載訓練資料:  Travel Recommendation System Training Data and  Training Data formulas version 

• 下載CI推論資料:  Travel Recommendation System MQTT Data

• Download Thonny and Python File

Download Thonny 3.3.13: Windows and Mac

Download Open Learning Tool Python File:  Python File

const.py  → Set Wifiname and password, choose MQTT Server's username, password, and topic name.

MQTT_TravelRecommendation.py →  Wait to receive data from the learning platform and make a response to the received data.