资源列表
qaobie
- BP神经网络用于函数拟合与模式识别，能量谱分析计算,利用贝叶斯原理估计混合logit模型的参数。- BP neural network function fitting and pattern recognition, Energy spectrum analysis and calculation, Bayesian parameter estimation principle mixed logit model.
qaoging
- 预报误差法参数辨识-松弛的思想，DSmT证据推理的组合公式计算函数，连续相位调制信号(CPM)产生。- Prediction Error Method for Parameter Identification- the idea of relaxation, Combination formula DSmT evidence reasoning calculation function, Continuous phase modulation signal (CPM) to produce.
python-fp-growth-master
- source code for fp_grouth algorithm by paython
qaohei
- D-S证据理论数据融合，自己编的5种调制信号，基于人工神经网络的常用数字信号调制。- D-S evidence theory data fusion, Own five modulation signal, The commonly used digital signal modulation based on artificial neural network.
algorithmforCS
- algorithms for compressed sensing via julia
test1
- 信号的FFT变换、经典功率谱分析和现代功率谱分析，周期图法、尤利沃克方法、burg方法、协方差和改进协方差方法-Signal FFT transform, the classic power spectrum analysis and modern power spectrum analysis and periodogram method, method of Julius walker, burg, covariance and the covariance improvement meth
t1
- MATLAB短时傅里叶变换和morlet小波变换-short-time Fourier transform and morlet wavelet transform based on matlab
the-conjugate-gradient-method
- the conjugate gradient method,-This article presents a three-containing conjugate gradient method, and prove the algorithm decline and global convergence, which demonstrate the effectiveness of the algorithm.
main
- 源程序是Kalman滤波用于温度测量，可以更好的测量温度。-Source program is Kalman filter used for temperature measurement, better able to measure the temperature.
IMGA_MAX_F111
- 简单、规范免疫遗传算法，含有大量注释，可读性强，适用于新手学习算法和代码编写。-Simple and standard immune genetic algorithm.It is very readable and suitable for new guys to learn algorithms and programme.
ADMM-method
- ADMM方法对于求解线性约束凸优化问题是有效的。在本文中，我们提出了一个邻近线性算法，同伦算法习惯于求解每个迭代点的子问题。在合适的条件下，这个全局收敛和的收敛速度是所提出算法被证明的最糟糕的情况。一个初始的数值结果表明提出方法的有效性。-ADMM method for solving linear constrained convex optimization problem is effective. In this paper, we propose a near linear algo
Trust-region-method
- 主要研究离散型随机线性互补问题的解法，采用信赖域方法对其进行求解，在适当的假设条件下进行收敛性分析，得到了算法局部收敛收敛速度为二次的，表明了算法的可行性和有效性-The main discrete stochastic linear complementarity problem solution, trust region methods for solving them, convergence analysis carried out under appropriate assumpti