资源列表
vnary
- 新安江模型洪水计算程序,Fortran语言开发,()
入门十大Python机器学习算法（附代码）
- 介绍机器学术十大算法，并且附python实现代码(The ten major algorithms of machine learning are introduced, and the python implementation code is attached.)
Neural-network-and-depth-study-notes
- 简单介绍神经网络基础知识和各重要深度学习流行模型，含有详细的数学推到公式。(A brief introduction to the basic knowledge of neural networks and the important depth of learning popular models, containing detailed mathematical push to the formula.)
wine
- 红酒数据集，包括了178种红酒种类，以及各类红酒参数(wine data set, including 178 kinds of red wine, as well as various types of red wine parameters)
bc251
- 线性调频脉冲压缩的Matlab程序,验证可用，滤波求和方式实现宽带波束形成。( LFM pulse compression of the Matlab program, Verification is available, Filtering summation way broadband beamforming.)
EMD-Hilbert
- 轴承故障诊断中振动信号EMD分解和Hilbert包络(EMD Decomposition and Hilbert Envelope of Vibration Signal in Bearing Fault Diagnosis)
5826
- 一个师兄的毕设，最小二乘回归分析算法，基于kaiser窗的双谱线插值FFT谐波分析。( A complete set of brothers, Least-squares regression analysis algorithm, Dual-line interpolation FFT harmonic analysis kaiser windows.)
tvnpv
- 用于特征降维，特征融合，相关分析等,包括AHP，因子分析，回归分析，聚类分析，粒子图像分割及匹配均为自行编制的子例程。( For feature reduction, feature fusion, correlation analysis, Including AHP, factor analysis, regression analysis, cluster analysis, Particle image segmentation and matching subroutines them
2337
- 最大似然（ML）准则和最大后验概率（MAP）准则，滤波求和方式实现宽带波束形成，分析了该信号的时域、频域、倒谱，循环谱等。( Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Filtering summation way broadband beamforming, Analysis of the signal time domain, frequency domain, cepstrum, c
fuheyuce
- 基于BP神经网络的电力系统日负荷预测，模型采用24个输入，24个输出，训练次数为10000，训练目标为0.5，学习速率设置为0.1。(Load forecasting based on BP neural network, the model uses 24 inputs, 24 outputs, the number of training is 10000, the training target is 0.5, the learning rate is set to 0.1.)
GameServer8
- rxjh(yulgang) V8.0 gameserver
generic-algorithm--TSP-CPP-
- 遗传算法解决TSP问题 带有界面 C++程序 (generic algorithm TSP C++)