资源列表
BP
- bp神经网络本构，我们通过bp神经网络处理实验数据，来拟合本构关系曲线。-bp neural network constitutive, we deal with the experimental data by bp neural network to fit the constitutive relation curve.
Electricity-Price-Forecasting
- 简单的用神经网络实现电价曲线的拟合，实现电价的预测-Simple realization price curve fitting using neural network to achieve price forecast
BPNN.py
- BP全称为Back Propagation，意思为反向传播，该方法是用来对人工神经网络进行优化的，即误差反向传播算法。-BP full name is Propagation Back, mean back propagation, the method is used to optimize the artificial neural network, that is, the error back propagation algorithm.
SACR_iMAP
- 针对压缩感知中的off-grid问题的稀疏自校正算法，参考文献“Sparse Frequency diverse MIMO radar imaging for Off-Grid target based on adaptive iterative MAP”-A novel approach of sparse adaptive calibration recovery via iterative maximum a posteriori (SACR-iMAP) for the general o
GRNN_PNN
- 将训练集与测试集数据进行归一化； 建立GRNN或PNN神经网络； 利用建立好的神经网络对测试集中的26个乳腺组织样本的类型进行预测； 计算预测正确率（不必计算每类的正确率，只需计算正常或者病变两类的正确率，即只要预测结果与真实值属于同一大类，则认为是正确，否则认为预测错误）-The training set and test data set is normalized Establish GRNN or PNN neural network The use of wel
particle-swarm-optimization
- 利用粒子群优化算法寻找下列多元函数的最大值：f(x, y) = x*cos(2*pi*y) + y*sin (2*pi*x) -2≤x≤2，-2≤y≤2 要求输出最优解、最优解对应的x和y值，以及粒子群优化算法迭代过程中的适应度函数进 化曲线。-Maximum use of particle swarm optimization algorithm to find the following multivariate function: f (x, y) = x*
RBFluntan
- RBF神经网络，用于实现多输入多输出状况仿真-RBF artificial neuron networks
code_DBM
- matlab版本的深层受限玻尔兹曼机，是对RBM的改进-matlab version of Deep Restricted Boltzmann Machine
Error-analysis-of-structured-light
- 本文对应用于焊缝跟踪的结构光视觉传感器进行分析，包括传感器硬件系统结构误差、激光散斑噪声误差及镜头畸变误差等，并对不同结构方式下的视觉传感器建立了数学模型，具体分析了结构参数对其误差的影响，提出了结构光视觉焊缝跟踪传感器优化设计方法，对使用结构光的工作者减少误差非常有用-The corresponding for seam tracking of structured light vision sensor is analyzed, comprising the sensor hardware
(EXCELPVBA)ACOP2opt
- 蚁群算法，用于解决大规模TSP问题，基于EXCEL开发的VBA程序-Ant colony algorithm for solving large-scale TSP problem based on VBA EXCEL program development
6
- 使用遗传算法解决功能区划分或设备布局问题。-Genetic algorithm to solve function zoning layout problems.
face-TPCA
- 一个很好地人脸识别程序，希望可以大家一块学习，十分适合初学者-A good face recognition program, we hope to learn a very suitable for beginners