资源列表
10.1016@j.jsv.2016.01.046
- 基于EEMD的回转支承故障多尺度ICA方法 检测与诊断(EEMD-based multiscale ICA method for slewing bearing fault detection and diagnosis)
Motor_Speed_Test_PID
- 利用MPC5744P，对直流电机进行PID控制，测速等操作。(Using mpc5744p, the DC motor is controlled by PID, and the speed is measured.)
MATLAB实现自定义的拉格朗日插值
- MATLAB源程序代码分享：MATLAB实现自定义的拉格朗日插值(Matlab source code sharing: Matlab to achieve custom Joseph-Louis Lagrange interpolation)
rbfmethod
- 这是径向基函数神经网络的代码,在机器学习中有很强的应用性。(radial basis function)
锂电池模型
- 锂电池simulink仿真模型，充放电电流、温度、电池初始电量为输入，电压、电流、SOC等参数为输出。(Lithium battery simulink simulation model, charge and discharge current, temperature, initial battery charge are input, voltage, current, SOC and other parameters are output.)
400KW光伏并网
- 400KW光伏参与并网，4组光伏模组共同输出400KW的功率(400KW photovoltaic participates in grid connection, 4 sets of photovoltaic modules jointly output 400KW power)
FJSP_GA_OneBatch_Version4_0208
- 遗传算法的一个例子，主要用于柔性车间调度(An example of genetic algorithm, mainly used in flexible shop scheduling)
二维混凝土骨料随机投放代码及ABAQUS参考资料
- 混凝土随机骨料投放matlab程序，主要用于生成混凝土粗骨料随机分布的二维几何模型。还有ABAQUS参考书籍及学习代码。(The random aggregate concrete matlab program is mainly used to generate a two-dimensional geometric model of the random distribution of concrete coarse aggregate. There are also ABAQUS refe
基于BP神经网络的色空间转换
- 本案例为基与bp神经网络对pantone色卡中RGB空间向Lab空间转换的源码，并已经调试成功输入层输出层函数与神经元个数。附加功能：直接得出各色块的Eab色差已经测试样本与预测样本的相关系数。经多次实验，相关色差在2~3之间，低于CIE认可标准：4，相关系数达到0.96以上，可以准确预测绝大多数色块，用于色彩管理建模。(This case is for color space converting(RGB Space to Lab Space) You can master how to u
信息论01
- 此代码为计算离散随机变量的熵、联合熵、条件熵、互信息的 Matlab 程序(This code is a matlab program for calculating entropy, joint entropy, conditional entropy and mutual information of discrete random variables)
ga_elman
- 采用matlab语言实现了遗传算法对elman神经网络的优化，固定了权阈值参数，大家可以试试(The optimization of Elman neural network by genetic algorithm is realized with MATLAB language, and the weight threshold parameters are fixed. You can try it)
Sentiment Analysis1
- 读取csv或xlsx文件后对文本信息进行NLP情感分析并计算出情感的得分，越接近1越积极，越接近-1越消极(After reading the CSV or xlsx file, NLP sentiment analysis is performed on the text information and the score of sentiment is calculated. The closer to 1, the more positive, the more close to - 1,