资源列表
fisher
- 利用Fisher线性分类器对两类样本进行分类的方法。-Fisher s linear classification methods to classify the two types of samples.
main
- matalb语言实现遗传算法用于模拟电路的演化设计-matalb language of genetic algorithms for analog circuit design evolution
example-of-neural-network-design
- 基于模糊控制实例的神经网络设计，其中应用了matlab中的神经网络工具箱-Based on the fuzzy control example of neural network design， The application of neural network toolbox of matlab
bp_sin
- 带阈值的三层BP神经网络，包括输入层，隐层，输出层。实现sin函数功能。-The BP neural network, including input layer, hidden layer and output layer, with a threshold value,can realize the sin() function.
PsoANN
- 微粒群算法结合神经网络进行建筑能耗预测,有效的提高了预测精度，但是延长了运算时间-building energy consumption prediction using particle swarm optimization and artificial neural networks
SVMTrain
- 支持向量机训练算法，使用matlab实现的。-Support vector machine training algorithm, implemented using matlab.
FuzzyNet
- 模糊数学，是基本的模糊数学中神经网络的一个核心程序-Fuzzy Gadget，Is the basic mathematics of fuzzy neural network is a core program
mse
- 最小均方误差法实现数据分类，内带实验数据，直接运行出结果-MSE algorithm for data classification with the experimental data，Run directly to results
TL
- T L 字母识别 BP网络 改进的动量项法
MGE_AStar
- java版本的A*算法,希望对大家学习有一定帮助。-java version of the A* algorithm, we want to have some help learning.
k-means
- 用于实现二维点的k均值分类的功能。输入n个数以及要求分成的类别数，将输出最终的分类结果，并且得到代价。-Used to implement k-means classification of two-dimensional point of the function. N number of input and request the number of categories into the output end of the classification results, and get a
shetuan
- 利用社团的性质，将节点重度度引进，并且根据节点重要度的关系划分社团，来找出关键节点和关键信息-Using the nature of the community, the nodes to introduce severe degree, and divide communities, according to the relationship of node important degree and key information to find out the key nodes