ARTIFICIAL INTELLIGENCE APPARATUS FOR GENERATING TRAINING DATA FOR ARTIFICIAL INTELLIGENCE MODEL AND METHOD THEREOF

• 1. Artificial intelligence apparatus for generating training data for artificial intelligence model and method thereof [P] . US11295166B2 . 2022-04-05

  机译： 用于生成人工智能模型训练数据的人工智能装置及其方法

• 2. ARTIFICIAL INTELLIGENCE APPARATUS FOR GENERATING TRAINING DATA FOR ARTIFICIAL INTELLIGENCE MODEL AND METHOD THEREOF [P] . US2021174142A1 . 2021-06-10

  机译： 用于生成人工智能模型训练数据的人工智能仪及其方法

• 3. ARTIFICIAL INTELLIGENCE APPARATUS AND METHOD FOR GENERATING TRAINING DATA FOR ARTIFICIAL INTELLIGENCE MODEL [P] . KR20210072362A . 2021-06-17

  机译： 用于人工智能模型产生训练数据的人工智能仪器和方法

• 1. Smart Society and Artificial Intelligence:Big Data Scheduling and the Global Standard Method Applied to Smart Maintenance [J] . Ruben Foresti, Stefano Rossi, Matteo Magnani, 工程（英文） . 2020,第007期
• 2. Developing energy forecasting model using hybrid artificial intelligence method [J] . Shahram Mollaiy-Berneti 中南大学学报（英文版） . 2015,第008期
• 3. Development and evaluation of a novel lossless image compression method (AIC: artificial intelligence compression method) using neural networks as artificial intelligence [J] . Hiroshi Fukatsu, Shinji Naganawa, Shinnichiro Yumura Japanese Journal of Radiology . 2008,第3期
• 4. Yield curve fitting with artificial intelligence: a comparison of standard fitting methods with artificial intelligence algorithms [J] . Posthaus Achim The journal of computational finance . 2019,第5期
• 5. Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint [J] . Jingwen Zhang, Yoo Jung Oh, Patrick Lange, Journal of medical Internet research . 2020,第9期
• 6. Inter-Frame Differencing in Training Data for Artificial Intelligence : Contour Processing for Inter-Frame Differencing Method [C] . Yuan Enze, Yasuyuki Miura IEEE International Conference on Consumer Electronics - Taiwan . 2020
• 7. Conversational Artificial Intelligence and Patient Generated Health Data: Transitional Patient Applications to Improve Outcomes in the 30 Day Post-discharge Window [D] . Mazza, Kathleen . 2020
• 8. Artificial Intelligence Based Methods for Asphaltenes Adsorption by Nanocomposites: Application of Group Method of Data Handling Least Squares Support Vector Machine and Artificial Neural Networks [O] . Mohammad Sadegh Mazloom, Farzaneh Rezaei, Abdolhossein Hemmati-Sarapardeh, 2020
• 9. The Proving of Artificial Intelligence Generated Content’s Works of Authorship Characteristic and the Authorship of Artificial Intelligence [O] . ZI-JUN CHENG 2019
• 10. Importance of Artificial Intelligence for Naval Intelligence Training Simulations [R] . Sweat, P. A. 2006

• 1. A Cross-View Model for Tourism Demand Forecasting with Artificial Intelligence Method [J] . Siming Han1 ,Yanhui Guo12 ,Han Cao1 . 国际计算机前沿大会会议论文集 . 2017,第001期
• 2. Developing energy forecasting model using hybrid artificial intelligence method [J] . Shahram Mollaiy-Berneti . 中南大学学报 . 2015,第008期
• 3. Research on the Construction of a Talent Training Mode for Artificial Intelligence Specialty in Local Colleges and Universities [J] . Yi Qian . 当代教育研究(百图) . 2022,第1期
• 4. Medical Image Data Fusion Based on Integrated Computational Intelligence:A Survey [C] . . 首届国际医学影像学暨介入医学学术会议 . 2005
• 5. 英语科普文本汉译的客观性表述：Artificial Intelligence in Society翻译实践报告 [A] . 马春燕 . 2021