RSDA

风电场短期风速预测研究,用的是MATLAB开发环境，对于研究风电场的同学有帮助(Short-term wind speed prediction of wind farms)

用Monte-Carlo方法解决二维Ising模型(Monte-Carlo method used to solve two-dimensional Ising model)

不同接触模型下动力分析程序，对比了非线性Hertz及线性hertz接触下结果(Comparative analysis of the dynamic responses with different contact model )

Fractional knapsack problem, Greedy algorithm

根据试试数据 对变压器技术参数进行校核 利用的是最小二乘曲线拟合的方法(According to the data to try check technical parameters of the transformer is the least squares curve fitting using the method)

地球科学：重力场积分(Fortran90) Stokes/Hotine/V_M垂线偏差积分：数值积分、二维平面FFT、二维球面FFT、一维FFT(Earth Sciences: Gravity Field Points (Fortran90) Stokes/Hotine/V_M deflection of the vertical integration: numerical integration, the two-dimensional plane FFT-dimensional sphere FFT, one-dimensional FFT)

使用匈牙利算法来解决指派问题，MATLAB代码(The Hungarian algorithm solves the assignment problem)

对加速度数据进行二次积分，最终得到位移数据。(Double integration of acceleration data and the final displacement data.)

说明：  一个虎门大桥涡街的udf和fluent仿真教程，适合初学者(A fluent udf example)

利用Python实现特征的MinMax标准化和Z-Score标准化两种特征归一化方法。并用原特征、两种归一化特征分别进行朴素贝叶斯模型训练，比较模型性能。(Two normalization methods of MinMax normalization and Z-Score standardization are implemented by Python. The naive Bayes model is trained with the original features and two normalization features respectively to compare the performance of the model.)