资源列表
BPnet
- 这是BP人工神经网络自适应学习算法的建立及其应用，有很*价值！-This is the establishment of the BP neural network adaptive learning algorithm and its application, there is a great reference value!
optimized-neural-Network-
- 一些通过优化算法将BP神经网络进行优化后的代码，对于处理复杂数据有一定的优点。-Optimization algorithm BP neural network optimized code has certain advantages for the treatment of complex data.
K_means
- 这是K_means算法研究综述，对算法研究的科研人员有很*价值！-This Research K_means algorithm, the algorithm of researchers!
GA
- 智能算法中的遗传算的源程序，但是在调用编码函数的时候出现了错误，试想可能是版本的问题。-Genetic operators in the intelligent algorithm source code, but the coding function is called when an error, Imagine version.
b
- 智能算法中的细菌算法的matlab源程序。运行出来的那个动态图，细菌算法的收敛速度非常快，程序也非常简单，整个流程也非常容易，适合刚接触智能算法的人学习。-The bacterial algorithm in the intelligent algorithm matlab source. Run out of dynamic map, bacteria convergence rate of the algorithm is very fast, the program is very sim
adaboostM1gai
- 对传统ADBOOST算法的深度改进，效果较好-Improved depth traditional ADBOOST algorithm, better
BP_use_toolbox
- bp 神经网络 分类 运用简洁的思路进行分类-bp neural network classification
facility-layout-problems
- 将布局问题转化为优化问题，利用只能优化算法求解，包括遗传算法、模拟退火、一群算法、粒子群算法-Will the layout problem is transformed into optimization problem, and use only optimization algorithm, including genetic algorithm, simulated annealing, a group of algorithm, particle swarm optimization
BP_Adaboost
- 基于BP_Adaboost的强分类器设计-公司财务预警建模-- The company' s financial early warning modeling BP_Adaboost strong classifier design
ImproveStringSimilarity_src
- 通过对两段文本相似度计算，避免出现重复信息。-Compute the similarity between two text.
vehicle-detection-tracking-
- 一种运动车辆检测跟踪系统,VC++源码，有源码、说明及演示可执行程序，对学习和研究图像处理、模式识别很有帮助。 -A moving vehicle detection and tracking system, VC++ source code, source code, descr iption and demo executable program, learning and research image processing, pattern recognition helpful.
svdfeature-1.1.6
- CF svdFeature, 基于C++开发的，利用svd奇异矩阵分解建立的协同过滤工具箱。可以解决常用的所有协同过滤问题。对于推荐系统的建立至关重要，是很好的学习和使用的工具箱。协同滤波也是最有机器学习感觉的方法之一，我们大家都爱它！-CF svdFeature, a well performed toolkit of confiltering method based on svd, which is developed using C++ programming language. It