资源列表
Pre-Sentient-Algorithms
- 使用灰色神经网络对钢铁企业的高炉煤气进行煤气的产生的预测-Using grey neural network for blast furnace gas of iron and steel enterprise production of gas prediction
k_means
- k-means聚类，聚类分析在人工智能方面多有用处，而k-means方法是最简单、最基本的一种，程序是k-means聚类方法的C++实现-k-means clustering
ANN BP simulink
- ANN_MLP_BP_Batch_Mode_Training.gif
Multi-layer-perceptron
- XOR_Example % The matrix implementation of the Backpropagation algorithm for two-layer
rgzn
- 对宋体数字进行数字识别，程序简单，都能看懂~-Digital identification, the digital Arial program is simple, can understand
CHNN-solve-TSP-problem
- 连续Hopfield网络解决TSP问题的程序-Continuous Hopfield network programs to solve TSP problem
ACSForTSP(sequence)
- 蚁群系统算法求解TSP,蚁群系统算法在构建路径时采用顺序构建的方式。-Ant System Algorithm for TSP, ant colony system algorithm constructed using sequential manner during the build path.
MMASForTSP
- 最大最小蚁群算法求解TSP。最大最小蚁群算法通过限制信息素的上下限，使得搜索的开发探索能力更强。-Max- min ant colony algorithm for solving TSP. Maximum and minimum ant colony algorithm pheromone upper and lower limits, allowing developers to explore the ability to search for more.
ASForTSP(candidateLists)
- 蚂蚁算法使用候选列表求解TSP，候选列表队搜索效率有很大贡献，采用的候选列表采用基于三角划分，最后结果很好。-Ant algorithm uses the candidate list for solving TSP, the list of candidates has contributed much to the team search for efficiency, using a list of candidates based on triangulation, the final
ACSForCVRP(parallelPcandidateLists)
- 蚁群系统算法求解车辆路径问题，其中的蚁群系统使用了基于三角划分的候选列表。-Ant System algorithm for vehicle routing problem, which the ant colony system uses a list of candidates based on triangulation.
bpfigure-(2)
- bp神经网络的ppt，分布式讲解bp网络的实现过程，介绍十分清晰-ppt bp neural network to introduce very clear! ! !
ACSForTSP(parallelPcandidateLists)
- 蚁群系统算法求解旅行商问题，其中使用了基于领域、基于三角剖分和最小生成树的候选列表，并进行了比较。-Ant Colony System for solving traveling salesman problem, in which a field-based, based on triangulation and the minimum spanning tree of the candidate list, and compared.