资源列表
Fundamentals of Deep Learning [PDF,2017]
- 这个是人工智能种深度学习比较权威的资料,也是深度学习的基础知识。(This is a kind of artificial intelligence, depth study more authoritative information, but also the basic knowledge of deep learning)
GA-BP神经网络应用实例之MATLAB程序
- 使用MATLAB编写的GA-BP神经网络,可进行多组数据处理 % gap.xls中存储训练样本的原始输入数据 37组 % gat.xls中存储训练样本的原始输出数据 37组 % p_test.xls中存储测试样本的原始输入数据 12组 % t_test.xls中存储测试样本的原始输出数据 12组(MATLAB implementation of the GA-BP neural network,% gap.xls stored in the training sample of the
《MATLAB 神经网络43个案例分析》源代码&数据
- MATLAB智能算法30个案例分析 附源代码和数据(MATLAB intelligent algorithm 30 case analysis with source code and data)
ver_0.83
- 通过卷积神经网络进行人脸模式识别。。。。(Pattern recognition by means of convolutional neural networks)
地震预测
- 根据往年数据建立模型,通过检测数据进行地震预测(earthquake prediction)
案例28
- 灰色神经网络matlab案例源码,5因素市场预测,可用于小样本预测与估计。(Gray neural network matlab case source code, 5 factors market forecast, can be used for small sample forecasting and estimation.)
DeepLearnToolbox-master
- Matlab的深度学习工具箱,有CNN DBN NN SAE for matlab。(Matlab's depth learning toolkit has CNN DBN, NN, SAE, for, matlab.)
BP和RBF神经网络用于预测
- BP和RBF神经网络用于电流互感器参数剩磁衰减因子的预测(Prediction of remanence attenuation factor of current transformer by BP and RBFneural network)
OS-ELM在线极限学习机
- 此代码是OS-ELM在线极限学习机,内含训练集和测试集。(This code is the OS-ELM online extreme learning machine, containing training set and test set.)
resnet
- 深度残差网络ResNet,分别有50,101,152,200层(The depth residual network ResNet, respectively, has 50101152200 layers)
RBF遗传优化
- RBF网络能够逼近任意的非线性函数,可以处理系统内的难以解析的规律性,具有良好的泛化能力,并有很快的学习收敛速度,已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(RBF network can approximate any nonlinear function, regularity can handle within the system to parse, has good generalization ability and
鱼群算法
- 这是我收藏的一个智能优化算法,相对新颖,希望大家喜欢(This is my collection of an intelligent algorithm, relatively new, I hope you like it)