Update README.md

README.md

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 The **MLMD** platform (**M**achine **L**earning for **M**aterial **D**esign) for Material or Engineering aims at general and frontier machine learning algorithm with visualization. It is built on the traditional machine learning framework mostly based [scikit-learn](https://scikit-learn.org/stable/index.html), which provides the machine learning in python. 
 
-| [Feature Engineering](https://mlmd.netlify.app/user-guide/feature%20engineering/) | [Regression](https://mlmd.netlify.app/user-guide/regression/) | [Classification](https://mlmd.netlify.app/user-guide/classification/) | [Active Learning](https://mlmd.netlify.app/user-guide/active%20learning/) |
+%%| [Feature Engineering](https://mlmd.netlify.app/user-guide/feature%20engineering/) | [Regression](https://mlmd.netlify.app/user-guide/regression/) | [Classification](https://mlmd.netlify.app/user-guide/classification/) | [Active Learning](https://mlmd.netlify.app/user-guide/active%20learning/) |
 | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
-| ![law](https://user-images.githubusercontent.com/61132191/231174763-00e43b00-dac7-476d-ba7a-701241ea2337.png?raw=true)                              | ![law](https://user-images.githubusercontent.com/61132191/231175195-d65a2907-58d5-4488-bf27-4f78e89f1d4f.jpg?raw=true)                       | ![law](https://user-images.githubusercontent.com/61132191/231175281-0416b03d-8d6b-4d2a-abed-b21034a5bea2.jpg?raw=true)                              | ![law](https://user-images.githubusercontent.com/86995074/230322616-08fc629c-1858-42e7-8795-57fc8d076339.png?raw=true)    
+| ![law](https://user-images.githubusercontent.com/61132191/231174763-00e43b00-dac7-476d-ba7a-701241ea2337.png?raw=true)                              | ![law](https://user-images.githubusercontent.com/61132191/231175195-d65a2907-58d5-4488-bf27-4f78e89f1d4f.jpg?raw=true)                       | ![law](https://user-images.githubusercontent.com/61132191/231175281-0416b03d-8d6b-4d2a-abed-b21034a5bea2.jpg?raw=true)                              | ![law](https://user-images.githubusercontent.com/86995074/230322616-08fc629c-1858-42e7-8795-57fc8d076339.png?raw=true)    %%
+
+# MLMD框架
+![图片1](https://github.com/Jiaxuan-Ma/MLMD/assets/61132191/fa3fd53d-e922-4d7e-b4a3-ed7dc5ab62d6)
+
+# 功能
+## 单目标/多目标 嵌入代理模型的材料成分（工艺）设计流程
+
+*训练代理模型需要大量的初始样本点，一般仅需要一次循环迭代*
+![图片1](https://github.com/Jiaxuan-Ma/MLMD/assets/61132191/dac35e71-1576-4142-ba68-fb1cf150b801)
+
+## 单目标/多目标 基于贝叶斯的材料成分（工艺）设计流程
+
+*训练代理模型需要少量的初始样本点，一般需要多次循环迭代*
+![图片2](https://github.com/Jiaxuan-Ma/MLMD/assets/61132191/64762434-abb6-41ac-9ab5-0394a5e32f88)
+
+## 单目标/多目标 嵌入代理模型的迁移学习的材料成分（工艺）设计流程
+
+**上线日期待定**
+![图片3](https://github.com/Jiaxuan-Ma/MLMD/assets/61132191/a723f604-f7fa-4c69-9bab-5e7892c990f3)
 
 
 Check out [help document](https://mlmd.netlify.app/) for more information