The Yggdrasil Project: organic reaction prediction with a custom-developed feedforward neural network and a tailored database

This thesis presents the Yggdrasil project, which aims to apply machine learning to predict organic chemical reactions by developing and validating of a neural network model. The project is structured into two main phases: Cognitio and Vaticinor. In the Cognitio phase, a subset of the USPTO_MIT data...

• 第一著者: Castro Angamarca, Jonnathan Ariel (author)
• フォーマット: bachelorThesis
• 言語: eng
• 出版事項: 2024
• 主題: Redes neuronales; Aprendizaje automático; Cognitio; Neural network; Machine learning; Vaticinor
• オンライン･アクセス: http://repositorio.yachaytech.edu.ec/handle/123456789/736