资源列表
CTest
- 基于模拟退火算法和粒子群算法的证券投资最优组合的C++代码实现，整个的程序-Based on investments in securities of the simulated annealing algorithm and particle swarm algorithm to achieve the optimal combination C++ code, the entire program
SEC
- sec,spectral embbeded cluster，谱嵌入聚类算法-spectral embbeded cluster
bpannIris
- 基于神经网络的分类算法，以Iris花的数据为训练和测试数据，并对未知数据进行分类-Classification algorithm based on Neural Network
TimeSeries
- 基于aforge.net开类库，BP神经网络算法中的时间序列算法，附带测试数据-Based on aforge.net open class library, BP neural network algorithm, the time sequence algorithm with test data
XORProblem
- 基于aforge.net开源类库，BP神经网络是xor问题的C#算法实现，附带测试数据-Open-source library based on aforge.net, the BP neural network is xor problem c# algorithm, with test data
Parrallel-Genetic-Algorithm
- 并行遗传算法法，可以解决大规模智能优化问题-Parallel genetic algorithm to solve large-scale intelligent optimization problem
MyGSO
- Group Search Optimizer
NN_EKF
- 基于非线性扩展卡尔曼滤波的Matlab程序-The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to t
UKF
- 基于非线性动力系统的无迹卡尔曼滤波matlab程序-onlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation.
m7_7
- 单神经元PID控制，基于有监督无监督以及改进的学习算法。-Single neuron PID control based on supervised unsupervised and improved learning algorithm.
m10_9
- 神经网络训练的matlab M文件仿真例子。这个例子里面可以看到训练后最终拟合曲线是很接近给定样本的。-Matlab M file of the neural network training simulation examples. This example, which can be seen the training after the final fitting curve is very close to a given sample.
gaot
- 采用遗传算法优化神经网络结构，得到使预测值和真值误差最小的权值和阈值，再利用该值进行神经网络建模。-Genetic algorithm to optimize the structure of neural network, get the predicted value and the true value of the minimum error weights and threshold value, then the value of the neural network modelin