Diary of 2008-01-30

昨天在购物中心调试模块,该模块用于终端与服务器间的通信。由于设计可能存在一些问题,且负责编码的是新手,所以进展缓慢。下午继续研究资料,期间被同事间的争论惊醒。之后改进了程序,并为购物中心的客户服务部门进行了培训。晚上开始打包准备回家,但由于雪灾影响,火车票已无法购买,考虑骑自行车回家的可能性,但最终因天气和技术难度放弃。
Yesterday, I went to the Metro Centre, there were still nothing, so I was aside and waited the another one debug and modify his program. a module that used to communicate between the terminals and the server. Design may be some problem, and the guy responsible for coding is freshman, so the issues is not only little. It's impossible to completed at this year ago. that guy was unconcerned with his program, but the project manager was getting frantic, the program is made by him only one, so leader could do nothing about him. afternoon I continue read the meterials and had fallen asleep unconsciously, in the middle, I was awake by their dispute. It's really boring. I make better for my program, then went to the Customer Services Department of the Metro and made a training for them.

After return home at night, begun to pack something for going home. after a little ,My old sister call me whether needs to help me to buy a train ticket.

Today, it's not snowing. the morning I get a phone with my sister, she said that the south station has stopped selling the ticket. it's seem that I was unable to go back. the moring I went to the company to report, brought my sister's box by the way. in the company, I discussed with riding firends about the plans for the Spring Festival thought internet. If I didn't go back, I think that to Xiamen is a good choice. during that time, someone searched a article about an universit student go home from Beijing to Zhenzhou by bicycle, Let me have impulse of going home by bicycle again. then I checked the weather condition, a firend send me the traffic condition that there were many places has been broken by snowstrom in the 318 National Road. and the weather is very bad. it's so happy that Riding in the heavy snow. but it's impossible task...
提供了基于BP(Back Propagation)神经网络结合PID(比例-积分-微分)控制策略的Simulink仿真模型。该模型旨在实现对杨艺所著论文《基于S函数的BP神经网络PID控制器及Simulink仿真》中的理论进行实践验证。在Matlab 2016b环境下开发,经过测试,确保能够正常运行,适合学习和研究神经网络在控制系统中的应用。 特点 集成BP神经网络:模型中集成了BP神经网络用于提升PID控制器的性能,使之能更好地适应复杂控制环境。 PID控制优化:利用神经网络的自学习能力,对传统的PID控制算法进行了智能调整,提高控制精度和稳定性。 S函数应用:展示了如何在Simulink中通过S函数嵌入MATLAB代码,实现BP神经网络的定制化逻辑。 兼容性说明:虽然开发于Matlab 2016b,但理论上兼容后续版本,可能会需要调整少量配置以适配不同版本的Matlab。 使用指南 环境要求:确保你的电脑上安装有Matlab 2016b或更高版本。 模型加载: 下载本仓库到本地。 在Matlab中打开.slx文件。 运行仿真: 调整模型参数前,请先熟悉各模块功能和输入输出设置。 运行整个模型,观察控制效果。 参数调整: 用户可以自由调节神经网络的层数、节点数以及PID控制器的参数,探索不同的控制性能。 学习和修改: 通过阅读模型中的注释和查阅相关文献,加深对BP神经网络与PID控制结合的理解。 如需修改S函数内的MATLAB代码,建议有一定的MATLAB编程基础。
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