资源列表
wuhao
- 多导体传输线分析中无耗导体的频域分析，有负载匹配，负载不匹配，负载短路与短路-Frequency domain analysis of consumable conductors in multi-conductor transmission line analysis, load matching, load mismatch, load short circuit and short circuit
yiwei
- 电磁场时域计算方法中，时域有限差分方法一维fdtd计算实力-Electromagnetic time domain calculation method, finite difference time domain method to calculate the strength of a one-dimensional fdtdElectromagnetic field time domain calculation method, time domain finite difference
2weifdtd
- 电磁场时域计算中时域有限差分方法中的2维fdtd计算实例-An Example of Two- dimensional fdtd in Time Domain Finite Difference Method for Time Domain Computation of Electromagnetic Field
xunzhaohuiwenshu
- c语言课程设计，寻找回文数程序，包含了文件的读写操作-c language curriculum design, look for palindrome programs, including the operation of reading and writing files
fengzhenxiangyingchengxu
- 基于Davenport风速谱单点时程模拟-Process simulation based on Davenport wind speed spectrum of single point
yichuansuanfa
- 根据TSP问题的遗传算法编制的MATLAB程序得到近似最优回路-According to the TSP problem of genetic algorithm prepared by the MATLAB program to obtain the approximate optimal loop
lizilvbo
- 粒子滤波程序，含EKF UKF与PF的对比程序，很详细-EKF UKF matlab simulation program, including a comparison program, in great detail, with reference to the PF
PMSmotor
- 根据单相永磁同步电动机数学模型，利用MATLAB提供的Simulink仿真工具构造了单相永磁同步电动机的通用仿真模型，并设计了友好的人机交互界面，通过仿真实验验证了模型的正确性。-According to the mathematical model of single- phase permanent magnet synchronous motor, the universal simulation model of single- phase permanent magnet synchr
admm_simpllified
- admm，压缩感知的重构程序，内有仿真信号-admm，compressive sensing
Elman
- 运用双隐含层Elman神经网络进行一天24小时的电力负荷预测。-Elman neural network with double hidden layer for 24 hours power load forecasting.
Ant-Colony-algorithm-for-solving-TSP
- 蚁群算法是一种群智能算法，可用于求解图模型最优化路径的计算问题.本代码为蚁群算法tsp求解。-Ant Colony algorithm is an algorithm of swarm intelligence and calculation model of optimal path can be used to solve problems. the code for the Ant Colony algorithm for solving TSP.
CNN
- 这个代码主要是研究手写数字的识别效率，用卷积神经网络算法来实现，用的是官方手写字体数据，能够显现百分之九十以上的识别率。-Used for convolution neural networks to identify handwritten numbers