资源列表
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)
ABSO
- 应用fluent仿真软件生成湍流烟羽环境下，应用头脑风暴优化算法气味源定位程序(Using fluent simulation software to generate turbulent plume environment, the application of brainstorming algorithm, odor source localization program)
手写数字识别
- 贝叶斯，神经网络等不同算法下的手写数字识别比较并建立了GUI界面可视化(Bias, neural network and other algorithms under the handwritten numeral recognition, comparison and establishment of the GUI interface visualization)
som神经网络
- som神经网络自组织特征映射网络，用于聚类(Som neural network self-organizing feature mapping network for clustering)
粒子群算法
- 基本的粒子群算法，适合初学者学习，对于理解人工智能算法很有帮助(Particle swarm optimization algorithm, suitable for beginners, helpful)
深度学习-李宏毅
- 台大教授李宏毅 深度学习课程全套讲义，非常好的深度学习资料(NTU professor Li Hongyi depth study courses, a full set of handouts, very good depth learning materials)