...Weifei Hu; Tongzhou Zhang; Zhenyu Liu; Jin Cheng; Yukun Lou; Xiaoyu Deng; Jianrong Tan Model validation is the process of determining the degree to which a model is an accurate representation of the real object. Most of the existing model verification metrics rely on massive data, which...

...Yi-Ping Chen; Kuei-Yuan Chan Simulation models play crucial roles in efficient product development cycles, therefore many studies aim to improve the confidence of a model during the validation stage. In this research, we proposed a dynamic model validation to provide accurate parameter settings...

... method dramatically improves the model prediction efficiency using the machine learning methods. Although model validation under uncertainty has been studied with the development of new methods and strategies, its solid integration in AM, or the SLM process, currently does not exist to the authors’ best...

...Wei Chen; Ying Xiong; Kwok-Leung Tsui; Shuchun Wang In most of the existing work, model validation is viewed as verifying the model accuracy, measured by the agreement between computational and experimental results. Due to the lack of resource, accuracy can only be assessed at very limited test...