资源列表
bam
- 一个BAM神经网络的基本程序，通过这个程序可以使大家对BAM有一个详细具体的了解。-A BAM neural network basic procedures, the adoption of this procedure allows us to BAM has a detailed understanding.
PNN
- pnn神经网络算法，通过训练后，可实现对电力变压器故障的分类-pnn neural network algorithm, by training, can be realized on the power transformer fault classification
FaceRec1
- PCA+BP神经网络的人脸识别程序已进行仿真，可实现-Face recognition program of the PCA+BP neural network simulation can be realized
fuzzppp
- 模糊控制源码，模糊控制的具体程序及仿真。-Fuzzy control of source code, the specific procedures and Simulation of fuzzy control.
The-SPSO-testingprocedure
- 基本的粒子群程序，测试四个标准测试函数，画出收敛曲线，验证算法的寻优性能-The basic particle swarm procedure, testing four standard test functions, draw the convergence curve, verify the performance of algorithm optimization
kNN
- kNN分类算法机器学习实战中python测试代码用例(KNN classification algorithm, machine learning, actual combat, python test code, use case)
Recog_Test_Vote
- face recognition test by voting
svm-nihe
- 利用svm对冰重进行拟合，调整参数，得到不同的拟合效果-Heavy ice use svm fitting, adjusting parameters to obtain different fitting results
robustlssvm
- 鲁棒最小二乘双支持向量机集成学习算法，对于初学者的理解应用特别好用-Robust least squares double support vector machine ensemble learning algorithm for beginners to understand the application of special good use
AStar-python
- python 实现的Astar 算法 。 -the python implementation Astar algorithm.
Recursive-least-squares
- 递归最小二乘算法，来至MIT大学的wingate教授，含3个源码-rls.m- Basic recursive least squares. qr_rls.m- Square-root version of RLS using a QR decomposition. bqr_rls.m- Block square-root version of RLS using a QR decomposition (you can add multiple rows at a time).
ssvmbaocun
- 支持向量机用于风电功率预测，误差在15 以内。-Support vector machines for wind power prediction