资源列表
AI-Semantic-algorithm
- 人工智能语义算法，可用于计算各类逻辑推理问题，如理发师问题等-AI semantic algorithm can be used to calculate all kinds of logical reasoning questions, problems such as barber
BP_Netural_Network_Example
- BP神经网络的设计前向型神经网络的实例，基于Matlab环境。
GATSP
- 这是用c编写的旅行商问题的算法，比较简单，很好理解（使用遗传算法）-GA TSP
IVA
- 独立向量分析（IVA）是对独立成分分析（ICA）算法的一种扩展，将ICA中的单变量成分扩展为多维变量成分，可有效避免卷积盲源分离过程中的排序模糊性问题。-Independent vector analysis (IVA), a multivariate extension of independent component analysis, tackles the convolutedly mixed blind source separation (BSS) problem in a wa
rbf_kernel
- RBF神经网络模型 能够很快的调用RBF网络模型 是用方便简单-rbf Prediction of Noisy Chaotic Time Series Using an
K-MEANS
- k均值聚类是最著名的划分聚类算法，由于简洁和效率使得他成为所有聚类算法中最广泛使用的。给定一个数据点集合和需要的聚类数目k，k由用户指定，k均值算法根据某个距离函数反复把数据分入k个聚类中。-k-means clustering is one of the most famous partition clustering algorithm, due to the simplicity and efficiency so that he became the most widely used i
yerenguohe
- 人工智能中经典算法野人过河的问题C语言实现-Classic algorithms in Artificial Intelligence Savage C language implementation issues across the river
Hungarian-Algorithm.
- 函数查找最小边的权重匹配给出的M×N的边缘 使用匈牙利算法权重矩阵的权重 A function for finding a minimum edge weight matching given a MxN Edge weight matrix WEIGHTS using the Hungarian Algorithm. - A function for finding a minimum edge weight matching given a MxN Edge we
SAGAHillClimbing
- Simulated Annealing SA Hill Climbing HC Local Beam Search LBS Genetic Algorithm GA -Simulated Annealing SA Hill Climbing HC Local Beam Search LBS Genetic Algorithm GA
BP_PID
- 本程序针对多输入多输出的耦合网络，设计了PID神经元网络，达到了很好的控制效果。-The procedure for multi-input multi-output coupling network designed PID neural network to achieve good control effect.
Apriori
- 数据挖掘算法 关联规则挖掘 Apriori经典算法的实现-Data mining algorithm Apriori association rule mining algorithms to achieve the classic
chapter22
- 蚁群算法实现旅行商问题，实现选取仓库中心使得距离最短，可运行程序-Ant colony algorithm for traveling salesman problem, select the warehouse center makes the shortest distance, you can run the program