资源列表
Automate_the_Boring_Stuff_onlinematerials_v.2
- Python编程快速上手 让繁琐工作自动化 源代码(Python Programming Gets Started Quickly to Automate Source Code for Burdensome Work)
CSO_C
- PSO的改进版本->CSO，用临近点相比较实现进化，不适用局部最优点，避免了PSO的过早熟问题。(The evolutionary version of PSO->CSO replaces the local optimum with adjacent optimality, avoiding PSO premature.)
种子填充算法实例
- 本程序是计算机图形学中常用的算法——种子填充算法的应用实例，供大家学习参考
计算RMSE
- 常用于回归精确度计算，计算均方根误差，Python代码，函数定义
改进版蜂群算法
- 改进版蜂群算法，用于求解大规模复杂优化问题(An improved bee colony algorithm for solving large-scale complex optimization problems)
SVM
- 使用SVM算法实现数据分类预测，编程使用MATLAB实现(SVM algorithm is used to realize data classification and prediction, and programming is realized by MATLAB.)
bmbedded
- 可逆嵌入式零树小波编码代码,主要是小波变换时使用的可逆变换,(Reversible embedded zerotree wavelet coding code, mainly used in the inverse wavelet transform,)
vc+halcon
- vs联合halcon开发，比较详细的步骤和所有步骤的截图，都存在！比较详细，请参考！(Visual Studio joint Halcon development, more detailed steps and screenshots of all steps, all exist! More detailed, please refer to!)
Tensorboard与可视化
- Tensorboard与可视化实现详细代码，希望对初学者有帮助哦！(Tensorboard and visual implementation of detailed code, hope to help beginners!)
ABCPSO(人工蜂群算法与粒子群算法)-新
- ABCPSO(人工蜂群算法与粒子群算法)(ABCPSO (Artificial Bee Colony and Particle Swarm Optimization))
改进人工蜂群算法
- 基于人工蜂群算法的鲁棒通信定位算法与实现(Robust communication location algorithm and Implementation Based on artificial bee colony algorithm)
IMM黄小平
- IMM交互多模型代码,使用了三种模型，有效的预测了运动物体轨迹，适用于卡尔曼滤波(IMM code IMM interactive multi-model code, using three models, effectively predicts the trajectory of moving objects, suitable for Kalman filter)