5) Data-drivenmodeling 模型的数据驱动6) data driving type 数据驱动型补充资料:基于UG生成表驱动的零件三维参数化模型的研究 阐述了基于UG生成表驱动标准件模型库的方法和步骤,并以一个实例对如何建立参数化模型、确凿设计变量、给模型分配设计变量以及设置和编辑电子表进行了详细的论述。实践证明,利用此方法可以...
aUtilidor Wall Panel Sleeve Joint Utilidor墙板袖子联接[translate] awill be held in the auditory of the university 在大学的听觉将举行[translate] aData-Driven Optimization for Modeling in Computer Graphics and Vision 数据被驾驶的优化为塑造在计算机图表和视觉[translate]...
To better facilitate modeling and simulation development as well as model integration and reuse in this occasion, a flexible cooperative modeling and simulation framework based on data driven methodology and extended DEVS (Discrete Event System Specification) was proposed . 基于实时网络的分布式硬实时仿真...
Bioprinting involves the fabrication of functional tissue constructs using a combination of biomaterials and it has the potential to transform regenerative medicine. However, bioprinting faces several challenges which can be attributed to its high sensitivity to the slightest variation in process parameters,...
3. Advancing Computational Toxicology in the Big Data Era by Artificial Intelligence: Data-Driven and Mechanism-Driven Modeling for Chemical Toxicity [J] . Ciallella Heather L., Zhu Hao Chemical research in toxicology . 2019,第4期 机译:通过人工智能推进大数据时代的计算毒理学:化学毒性的数据驱动...
post-use stages. The results indicate that constraint-satisfaction modeling is a pertinent framework for searching for admissible changes at the design stage to improve sustainable product development within the full scope of socio-ecological sustainability. The applicability of the proposed approach is ...
There exists a number of ways of modeling faults. Extending model (8.16) to y(z)=Gyu(z)u(z)+Gyd(z)d(z)+Gyf(z)f(z)y(z)=Gyu(z)u(z)+Gyd(z)d(z)+Gyf(z)f(z) is a widely adopted one, wheref∈Rkff∈Rkfis a unknown ...
我们将这种生成模型应用于化学设计,使用一对被训练为自动编码器的深度网络,将以SMILES representation的分子转换为连续的向量表示。原则上,这种从分子表示转换为连续向量表示的方法可以应用于任何分子表示,包括化学指纹、图形上的卷积神经网络、类似的图形卷积、库仑矩阵。我们选择使用SMILES representation,因为这种表征可以很...
获取原文并翻译|示例 获取外文期刊封面目录资料 开具论文收录证明 >> 摘要 An important issue in statistical modeling is to determine the complexity of the model based on the scale of data so as to effectively mitigate the model's overfitting problems without big data. We adopt a data-driven approa...