distribution

思科认证CCNA study guide 640-802 英文版教材(ccna study guide 640-802)

Fisher分类函数 对应《模式识别与智能计算的matlab实现》中的例2.4(Pattern Recognition and Intelligent Computing matlab achieve the Fisher classification function corresponding Example 2.4)

使用matlab的m语言编写的自控原理中的劳斯判据。写成函数形势，课以直接调用(routh)

a sample application for FIR on Matlab.

离散时间信号和系统的频域表示以及序列的傅里叶变换 频率响应等(Discrete time signal and system frequency domain representation)

产生与故障相关的随机数,包括故障名称，列车编号，车厢类型等，可随意增加。(Generate random numbers associated with the fault, including the fault name, train number, car type, etc., can be increased.)

说明：  标准极坐标牛顿潮流，包含导纳矩阵生成过程，以中国电力出版社出版《电力系统分析计算机算法》例题2.1为算例(Standard polar coordinates NEWTON, including admittance matrix generation process, with China Electric Power Publishing House &quot power system analysis computer algorithms,&quot Example 2.1 as an example)

开发环境:Matlab 简要说明:动量-自适应学习调整算法。在实际应用中，原始的BP算法很难胜任，因此出现了很多的改进算法。BP算法的改进主要有两种途径，一种是采用启发式学习方法，另一种则是采用更有效的优化算法。本例采用动量BP算法，来实现对网络的训练过程，动量法降低了网络对于误差曲面局部细节的敏感性，有效地抑制网络陷于局部极小。(development environment : Matlab Brief Description : Momentum-adaptive learning algorithm adjustments. In practical application, the original BP algorithm competence, resulting in a lot of improved algorithm. BP algorithm improvements There are two main ways of using a heuristic approach to learning Another is the use of a more effective method of optimization. Momentum cases using the BP algorithm to achieve the network training process, Momentum for reducing error of the network for local surface details of the sensitivity, to effectively curb the network into local minima.)

说明：  英国伦敦大学一个学生写的有关UWB的文章，里面有较详细的说明并附有Matlab源码，适合初学者。(University of London a student to write an article on UWB, there are more detailed description with Matlab source, suitable for beginners.)

程序将模糊控制和传统的PID控制的性能进行了比较。(Fuzzy control program and the performance of traditional PID control are compared. )