资源列表
SVKERNEL
- 支持向量机的核心程序，运用monqp函数的求法与实现-SVM core procedures, the use monqp Function Method and Implementation
BPyuce
- 神经网络预测模型代码，用到神经网络BP模型-Neural network model code used in BP neural network model
gaborfilter1
- 利用Gabor滤波器对图像进行处理，增强器可分能力-Using Gabor filters for image processing, enhancers can be divided into ability
yuce
- 可以实现依据时间序列对数据进行预测，其中变量P代表神经网络训练数据-It can be achieved on the basis of time series data to predict where the variable P represents the neural network training data
Particle_Swarm_Optimization
- 粒子群优化解决实际问题的方法，带有约束条件的，供大家参考学习-Particle Swarm Optimization to solve practical problems, with constraints, for your reference study
KMeanCluster
- K Means Clustering Algorithm
PCA
- 对训练数据进行主成分分析，得到降维矩阵，然后根据降维矩阵求得测试数据降维之后的矩阵。-The training data, principal component analysis, to obtain reduced dimensional matrix, and the matrix obtained after the dimensionality reduction test The dimensionality reduction matrix.
pca
- 基于matlab的PCA人脸识别完成程序，包含特征值与特征向量的提取、训练样本以及最后的识别检验。
SNN-PID-control
- 基于二次型性能指标学习算法的单神经元自适应PId控制- Single Neural Net PID Controller based on Second Type Learning Algorithm
FLO
- 基于粒子群优化算法的无源模拟滤波器优化设计方法容易陷入局部最优,收敛速度慢迭代次数多、运算量大且稳定性不够好。提出果蝇优化算法对滤波器的整个参数空间进行高效并行搜索直到获得最优的参数值,实例仿真表明,采用该方法设计的滤波器在相同的带宽准确度及阻带衰减的情况下,具有更快的运算速度及收敛性能。-Passive analog filter optimization algorithm based on particle swarm optimization design method is easy
matlabTextPrograme
- 神经网络matlab训练网络和测试网络程序-Matlab neural network training networks and network testing procedures
rbf03
- 径向基底函数类神经网络(RBFNN),加入RBFNN来调整最佳的PID控制-Radial basis function neural network (RBFNN), was added to adjust the optimum RBFNN PID control