First Order Motion Model for Image Animation 关联博客https://blog.csdn.net/lm19770429/article/details/121842387

总结laravel-admin展示用到的基本方法 基础用法 自定义model 当列表数据获取有特定条件或自己写ORM方法时可以用到，支持排序 $grid->model()->select('id','name')->where('status',1)->groupBy('project_id'); $grid->model()->select('id','name')->where('status',1)->groupBy('project_id'); //结合having 查出名字重复的 $grid->model()->select('name_en')->groupBy('name_en

KMV的MATLAB的代码 KMV-model

在经济体系不稳定的发展中国家，历史数据的永久性波动一直是一个令人担忧的问题。 识别变量的依赖性和独立性是模糊的，建立可靠的预测模型比其他国家更复杂。 尽管非线性多元经济时间序列的线性化来预测可能会给出结果，但应忽略显示经济系统中不规则性的数据的性质。 人工神经网络（ANN）的新方法有助于建立一个保持数据属性的预测模型。 在本文中，我们使用德黑兰证券交易所 (TSE) 10 年的日内数据来预测未来 2 个月。 与自回归积分移动平均 (ARIMA) 模型相比，来自 ANN 的长短期记忆 (LSTM) 选择和输出。 结果表明，虽然在长期预测中，两种模型的预测精度都有所降低，但 LSTM 在精度误差方面明显优于 ARIMA。

Kotlinx浏览器 Kotlin浏览器API

tf1.15框架，利用船舶数据训练FasterRCNN模型，并用tf2onnx将其转化为ONNX模型。

本文为模型预测控制（MPC）的理论和设计提供全面而基本的处理方法，强烈推荐作为入门模型预测控制书籍。

This book discusses how model-based approaches can improve the daily practice of software professionals. This is known as Model-Driven Software Engineering (MDSE) or, simply, Model-Driven Engineering (MDE). MDSE practices have proved to increase efficiency and effectiveness in software development, as demonstrated by various quantitative and qualitative studies. MDSE adoption in the software industry is foreseen to grow exponentially in the near future, e.g., due to the convergence of software development and business analysis. The aim of this book is to provide you with an agile and flexible tool to introduce you to the MDSE world, thus allowing you to quickly understand its basic principles and techniques and to choose the right set of MDSE instruments for your needs so that you can start to benefit from MDSE right away. The book is organized into two main parts. The first part discusses the foundations of MDSE in terms of basic concepts (i.e., models and transformations), driving principles, application scenarios, and current standards, like the well-known MDA initiative proposed by OMG (Object Management Group) as well as the practices on how to integrate MDSE in existing development processes.

主要介绍了vue中input的v-model清空操作，本文通过实例代码给大家介绍的非常详细，具有一定的参考借鉴价值,需要的朋友可以参考下

该文件包括 QPSK 调制和解调 Simulink 模型。 如果您想计算并制作误码率图表，您可以使用 BERTOOL。