资源列表
6-axis-motor-algorithm
- 六轴机器人正运动学、逆运动学求解的原创性资料，作者经验之总结比书上的资料更有参考价值。-Six-axis robot forward kinematics, inverse kinematics originality data, the authors summarize the experience of the information in the book is more than a reference value.
NSGA-II_20140417
- 遗传算法多目标优化的一个版本，内容包括源程序和NSGA-II工程包nsga2code使用手册- A version of the genetic algorithm for multi-objective optimization, including source code and NSGA-II project package nsga2code Manual
cnn_cuda5.5
- 利用cuda加速卷积神经网络，用于人工智能图像分类- Cuda accelerated use convolution neural networks, artificial intelligence for image classification
fast-rcnn-master
- Fast Region-based Convolutional Networks for object detection. Fast R-CNN** is a fast framework for object detection with deep ConvNets. Fast R-CNN - trains state-of-the-art models, like VGG16, 9x faster than traditional R-CNN and 3x faster than
fuzzy-control
- 模糊控制实现温区的恒温控制,里面给出的是一个例子-Fuzzy control thermostatically controlled temperature zones, which gives an example
SAPSO
- 对粒子群算法的改进，利用一种名为自适应权重粒子的方法来更新粒子速度和位置，用来解决静态单目标优化问题-It is the improved particle swarm optimization algorithm. It introduced a kind method named adaptive weight to update the position and velocity of the particle. It can be used for handling single obj
mapso
- 基于mapso的鲁棒PID控制算法，针对控制系统的PID优化- Optimal PID Controller Based on Multi-Agent Particle Swarm Optimization Algorithm
bpiris
- bp神经网络对iris数据进行分类，已含iris.data-BP neural network for classification of iris data, including iris.data
libsvm_X64CouldUse
- windows 64位下编译好的libsvm，可以直接使用 svmpredict.mexw64和svmtrain.mexw64文件-windows 64 bit The following compiled libsvm, can be used directly svmpredict.mexw64 and svmtrain.mexw64 file
LSMI
- 最小二乘互信息估计法,基于最小二乘法来直接估计互信息。-least-square MI estimator
MutualInfo
- 用非参数估计的方法（核密度估计）来估计互信息-Nonparametric estimation method (kernel density estimation) to estimate the mutual information
PIDalgorithm
- 使用c完成的PID控制算法，实现对温度的有效控制-PID control algorithm using C, realize the effective control of temperature