资源列表
wine_SVM
- 支持向量机是一种继神经网络之后又一优化的算法推动了机器学习的理论发展。(Support vector machines (SVM) is a kind of optimization algorithm after neural network, which promotes the development of machine learning theory)
Desktop
- 用遗传算法优化BP神经网络的权值。提高BP网络的输出精度.(Optimization of weights of BP neural network by genetic algorithm. Improve the output accuracy of BP networks)
libsvm_library
- 支持向量机是继神经网络之后又一研究深度学习的新方向，它的泛化能力比神经网络强很多(Support vector machine (SVM) is a new direction of deep learning after neural network. Its generalization ability is much better than that of neural network)
matlab_SVM 视频讲解_2
- 支持向量机是继神经网络之后又一研究的热点，支持向量机的泛化能力要比神经网络高。(Support vector machine (SVM) is a new direction of deep learning after neural network. Its generalization ability is much better than that of neural network)
wawwa
- Encryption algorithms implemented in c++
yi_chuan_Final
- 利用常规的遗传算法，分别进行适应值计算，选择，交叉等步骤，实现了对负责多项式的最大值求解(GA method To solve polygen max value)
27796710BPtrain
- 基于BP神经网络的全国人口预测本文以1970-2013年的中国人口统计数据为依据，论证BP网络预测模型的可行性同时给出了利用MATLAB神经网络工具箱设计BP网络的方法和步骤。利用样本数据对网络进行训练，并根据训练后的网络对未来人口数量作出预测。仿真结果表明该方法实际可行并对2014—2017的全国人口数量进行预测。。(National Population Prediction Based on BP neural network)
201280BP-GA
- 本文以1970-2013年的中国人口统计数据为依据，论证BP网络预测模型的可行性同时给出了利用MATLAB神经网络工具箱设计BP网络的方法和步骤。利用样本数据对网络进行训练，并根据训练后的网络对未来人口数量作出预测。仿真结果表明该方法实际可行并对2014—2017的全国人口数量进行预测。。(Based on the statistics of Chinese population for 1970-2013 years, this paper demonstrates the feasibili
im003
- Including quaternion various calculations, Consider shadow rain attenuation and multipath effects Nonlinear discrete system identification.
timeseries_gan-master
- 针对非图像数据的GAN代码，数据源的asv文件需要自己制作。(For non image data GAN code, the ASV file of the data source needs to be made by itself.)
2016_GAN_Matlab-master
- GAN的matlab版本，用于图像分类和生成(The matlab version of GAN is used for image classification and generation)
GRNN
- 基于广义线性回归神经网络的预测，计算出相应的误差。(Based on the prediction of generalized linear regression neural network, the corresponding error is calculated.)