Practical MATLAB Deep Learning 作者:Michael Paluszek/Stephanie Thomas 出版社:Apress 副标题:A Project-Based Approach 出版年:2020 ISBN:9781484251249 豆瓣评分 目前无人评价 内容简介· ··· Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning...
We introduce ideas on how to use reinforcement learning for practical control design with MATLAB and Reinforcement Learning Toolbox, using a complete workflow for the design, code generation, and deployment of the reinforcement learning controller.
Deep learning doesn't have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you'...
Deep learning refers to a class of artificial neural networks (ANNs) composed of many processing layers. ANNs existed for many decades, but attempts at training deep architectures of ANNs failed until Geoffrey Hinton's breakthrough work of the mid-2000s. In addition to algorithmic innovations, th...
主要内容涵盖柔性钢轨在Abaqus中的建模要点,如使用梁单元和截面属性模拟钢轨并生成带有微小弯曲的节点坐标;FBI文件的生成方法,包括从Abaqus导出inp文件并通过Matlab脚本转换为Simpack所需的fbi格式;钢弹簧浮置板的搭建,提供了模板代码用于设置弹簧和阻尼参数;以及轨道不平顺激励的生成,采用Python脚本基于德国低干扰谱生成随机...
主要目标是提高对信号瞬时成分的检测能力和提取有用的特征信息,从而为后续的数据处理和分析提供坚实的基础。 其他说明:该算法不仅可以应用于现有的MATLAB环境,还可以迁移到其他类似平台,进一步扩展其应用场景。同时,文中提供的代码示例和参数设置指南有助于读者快速上手并深入理解算法的工作机制。
Ryan T. Whiteis a Ph.D. in Applied Mathematics. He works as a professor at Florida Institute of Technology and researcher working on authoring educational materials/graphics, financial modeling, statistical modeling, and data science with R, Python, Matlab, and LateX. ...
Learning-Coding 2025-03-29 18:29:17 积分:1 huawei-2018-software 2025-03-29 18:27:56 积分:1 DeepLearnToolbox 2025-03-29 18:21:59 积分:1 KCF-FOR-MATLAB 2025-03-29 18:21:30 积分:1 fangdouyin 2025-03-29 18:19:10 积分:1 fangdouyin 2025-03-29 18:18:36 积分:...
The experiment was executed 50 times in a Matlab environment, with the duration of each iteration being recorded. The training and testing results were calculated using different error metrics including root mean squared error (RMSE), mean absolute error (MAE), and mean bias error (MBE). The ...
适合人群:对图像处理感兴趣的研究人员和技术爱好者,尤其是那些希望深入了解MATLAB在生物特征识别领域应用的人群。 使用场景及目标:适用于需要提高指纹图像质量、增强识别精度的应用场合,如门禁系统、刑侦鉴定等。目标是帮助开发者掌握MATLAB环境下指纹图像预处理的技术细节,从而为实际项目提供技术支持。 阅读建议:读者可以通...