酸橙 曾经有一个叫做石灰的包裹， 谁的模型简直是崇高的， 它解释了它们的变化， 一次观察一次。 莱姆·瑞克（Mara Averick） 这是Python石灰包（ ）的R端口，该石灰包是由石灰（本地可解释模型不可知的解释）方法的作者开发的，用于黑盒模型解释。 该方法的发明全部归功于原始开发人员。 lime的目的是解释黑匣子分类器的预测。 这意味着对于任何给定的预测和任何给定的分类器，它都能够确定原始数据中促成预测结果的一小部分特征。 要了解有关lime的方法的更多信息，请阅读并访问的资料库。 R的lime包并不旨在成为其Python对应版本的逐行端口。 相反，它采用原始代码中列

MixedVineToolbox：Matlab工具箱，用于混合连续边缘和离散边缘的经典藤蔓科古柏树

Ultrawideband (UWB) multiband OFDM physical layer with modeling.zip

适用毕设设计选择MATLAB联合CST建模的毕业生

Frequency Domain to Baseband-complex time-domain Modeling in RF Blockset.zip

CRC出版的关于离散事件建模与仿真的教材 Product Description Complex artificial dynamic systems require advanced modeling techniques that can accommodate their asynchronous, concurrent, and highly non-linear nature. Discrete Event systems Specification (DEVS) provides a formal framework for hierarchical construction of discrete-event models in a modular manner, allowing for model re-use and reduced development time. Discrete Event Modeling and Simulation presents a practical approach focused on the creation of discrete-event applications. The book introduces the CD++ tool, an open-source framework that enables the simulation of discrete-event models. After setting up the basic theory of DEVS and Cell-DEVS, the author focuses on how to use the CD++ tool to define a variety of models in biology, physics, chemistry, and artificial systems. They also demonstrate how to map different modeling techniques, such as Finite State Machines and VHDL, to DEVS. The in-depth coverage elaborates on the creation of simulation software for DEVS models and the 3D visualization environments associated with these tools. A much-needed practical approach to creating discrete-event applications, this book offers world-class instruction on the field’s most useful modeling tools. About the Author Carleton University, Ottawa, Ontario, Canada

本书讲解用Matlab进行仿真建模的一些实例和方法，对于仿真建模学习者来说具有一定借鉴意义，尤其对于从事燃料电池想换行业的学者。

用于自己参加数学建模的软件，是汉化破解安装包，具体安装过程可以看我写的教程，而其中的安装包可以在我的教程中找到https://blog.csdn.net/Reanon/article/details/98063566。

2019 Multilevel Modeling using R 2019 Multilevel Modeling using R

Aaslt关于工作流的新作，介绍了基于Petri Net的业务过程建模技术