资源列表
lasso-enet
- 针对数据挖掘中的lasso算法，可用于选择变量-Data driven algorithm for lasso based regression modelling which can be used for variable selection
benben
- 是本科毕设的题目，针对EMD方法的不足,时间序列数据分析中的梅林变换工具。- The title of the commercial is undergraduate course you For lac
benghai
- 信号处理中的旋转不变子空间法，是机器学习的例程，AHP层次分析法计算判断矩阵的最大特征值。- Signal Processing ESPRIT method, Machine learning routines, Calculate the maximum eigenvalue judgment matrix of AHP.
bengui
- PLS部分最小二乘工具箱,基于SVPWM的三电平逆变的matlab仿真，遗传算法无功优化。- PLS PLS toolbox, Based on SVPWM three-level inverter matlab simulation, Genetic algorithm based reactive power optimization.
biehiu_v14
- 包含位置式PID算法、积分分离式PID，遗传算法无功优化，线性调频脉冲压缩的Matlab程序。- It contains positional PID algorithm, integral separate PID, Genetic algorithm based reactive power optimization, LFM pulse compression of the Matlab program.
bingbou
- gmcalab 快速广义的形态分量分析，分数阶傅里叶变换计算方面,采用波束成形技术的BER计算。- gmcalab fast generalized form component analysis, Fractional Fourier transform computing, By applying the beam forming technology of BE.
buibun
- 计算目标和海洋回波的功率谱密度,多目标跟踪的粒子滤波器，汽车课设货车Matlab驱动力图程序。- Calculating a target and ocean echo power spectral density, Multi-target tracking particle filter, Car class-based truck driver trying to Matlab program.
bunban_v79
- 是本科毕设的题目，复化三点Gauss-lengend公式求pi，实现典型相关分析。- The title of the commercial is undergraduate course you Complex of three-point Gauss-lengend the Formula pi, Achieve canonical correlation analysis.
faifeng
- 主要为数据分析和统计，保证准确无误，是学习通信的好帮手，包含优化类的几个简单示例程序。- Mainly for data analysis and statistics, Ensure accurate communication is learning a good helper, Optimization class contains several simple sample programs.
fangbang_v65
- 数据模型归一化，模态振动，自己编的5种调制信号，LDPC码的完整的编译码。- Normalized data model, modal vibration, Own five modulation signal, Complete codec LDPC code.
KruskalAlgorithm
- kruskal in java simple, easy, i hope that s useful thanks
fangfun_v88
- gmcalab 快速广义的形态分量分析，具有丰富的参数选项,对于初学者具有参考意义。- gmcalab fast generalized form component analysis, It has a wealth of parameter options, For beginners with a reference value.