研究一种多元合金的非等温相场模型，定量地模拟工业多元合金的真实凝固过程，结合热力学和扩散迁移率的数据来预测整个系统中的相平衡、溶质扩散系数、比热容和放出的潜热。结果表明：这些参数不是常数，它们的值与成分和温度有关。没有这些参数，定量模拟多元合金的凝固几乎是不可能。在这个模型中，界面区域假设是由有同样化学势的固相和液相混合而成的，但组成不同。这个模型中同样考虑反溶质截流。一并将模型应用到工业 Al.Cu.Mg合金的各向枝晶自由长大的凝固过程。

《应用多元统计分析》 与 MATLAB 编程

人工智能-机器学习-面向多元化的软件开发管理系统的设计.pdf

Abstract Most image completion methods produce only one result for each masked input, although there may be many reasonable possibilities. In this paper, we present an approach for pluralistic image completion – the task of generating multiple and diverse plausible solutions for image completion. A major challenge faced by learning-based approaches is that usually only one ground truth training instance per label. As such, sampling from conditional VAEs still leads to minimal diversity. To overcome this, we propose a novel and probabilistically principled framework with two parallel paths. One is a reconstructive path that utilizes the only one given ground truth to get prior distribution of missing parts and rebuild the original image from this distribution. The other is a generative path for which the conditional prior is coupled to the distribution obtained in the reconstructive path. Both are supported by GANs. We also introduce a new short+long term attention layer that exploits distant relations among decoder and encoder features, improving appearance consistency. When tested on datasets with buildings (Paris), faces (CelebA-HQ), and natural images (ImageNet), our method not only generated higherquality completion results, but also with multiple and diverse plausible outputs.

人工智能-机器学习-课堂教学评价实证研究从多元智能实验看课堂教学评价.pdf

结果三：回归系数表 *

人工智能-机器学习-计算机组装与维护多元学习环境设计.pdf

《应用多元统计分析》 高惠璇 书中的例题SAS程序

执行数据矩阵 X 的 NIPALS 分解的函数

人工智能-机器学习-高中地理课堂教学培养多元智能的研究.pdf