College for Creative Studies, Changzhou Vocational Institute of Textile and Garment, Changzhou, Jiangsu 213164, China.
Comput Intell Neurosci. 2022 May 30;2022:1518331. doi: 10.1155/2022/1518331. eCollection 2022.
Based on the whole process of computer-aided technology, a 3D animation data processing development platform based on artificial intelligence is designed and implemented. A random forest model for animation data processing and development is designed to mine the experience that can guide animation generation from the accumulated animation data. Based on the design goal and implementation principle of animation data processing and development platform, the attributes and categories of random forest model are abstracted. After standardizing a large number of historical data, the training sample set is obtained, and the random forest model is obtained after training. The parameters of the random forest model are continuously optimized by experiments, so that the learning model can better guide the dynamic animation data processing and development platform to generate animation to the satisfaction of users. The designed three-dimensional animation data processing and development platform interacts with the animation generation module, users, and system administrators. It can continuously receive the sample data of the animation generation module, automatically expand the number of training samples, analyze the status of the sample database, and put forward suggestions to the system administrator to update the learning model, so as to realize the initiative of learning. The experimental results show that the designed 3D animation data processing and development platform is effective and feasible.
基于计算机辅助技术的全过程,设计并实现了一个基于人工智能的 3D 动画数据处理开发平台。设计了一个用于动画数据处理和开发的随机森林模型,以从累积的动画数据中挖掘出可以指导动画生成的经验。基于动画数据处理和开发平台的设计目标和实现原则,抽象出随机森林模型的属性和类别。对大量历史数据进行标准化后,获得训练样本集,并经过训练得到随机森林模型。通过实验不断优化随机森林模型的参数,使学习模型能够更好地指导动态动画数据处理和开发平台生成用户满意的动画。设计的三维动画数据处理和开发平台与动画生成模块、用户和系统管理员交互。它可以不断接收动画生成模块的样本数据,自动扩展训练样本数量,分析样本数据库的状态,并向系统管理员提出更新学习模型的建议,从而实现主动学习。实验结果表明,设计的 3D 动画数据处理和开发平台是有效且可行的。