资源列表
K-means-clustering-algorithm
- 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 partitioning clustering algorithm, due to the simplicity and efficiency makes him become the most widely used
Ant-clustering-algorithm
- 蚁群聚类算法是基于蚁穴清理行为的聚类算法。 在诸多聚类算法中，蚁群算法是一种较新且较高效率的算法。蚁群算法在数据挖掘聚类中的应用所采用的生物原型为蚁群的蚁穴清理行为和蚁群觅食行为。-Ant clustering algorithm clustering algorithm is based on the nest cleaning action. In many clustering algorithm, ant colony algorithm is a relatively new
MyCnn
- 用VS2012实现手写数字识别的卷积神经网络算法，用mnist库作为输入-Using VS2012 to achieve the handwritten numeral recognition of the convolution neural network algorithm, using the MNIST library as an input
BP_for_classify
- 一个BP神经网络解决分类问题，数据集是Iris数据集-Here is a bp ANN for classify,the dataset used is the Iris dataset
wavelet
- 针对时间序列，利用小波神经网络预测方法进行预测-waveletneural prediction
6
- 使用遗传算法解决功能区划分或设备布局问题。-Genetic algorithm to solve function zoning layout problems.
MOEA-NSGA-II
- NSGA (No n- Do mina te d So r ting in Ge ne tic Alg o r ithms [5 ]) is a p o pula r no n-do mina tio n ba s e d g e ne tic a lg o r ithm fo r multi- o b je c tive o ptimiz a tio n. I t is a ve r y e ff e c tive a lg o r ithm but ha s b e e n g
BP
- 给予预测的BP算法然后能够准确的预测Bp算法神经网络-To give the predictive BP algorithm and then be able to accurately predict the neural network of Bp algorithm
小波包能量计算
- 这是一个小波包分析，通过小波包分解，计算各频段内的能量，观察趋势。
GradientDescent
- GradientDescent梯度下降法，以后会添加随机梯度下降法，正在学习中-Gradient descent, will be added later stochastic gradient descent, I am learning
wsearch1
- 人工智能可视化宽度优先和深度优先搜索算法。-a vc program for demostrating ai width and deepth first search algorithms.
pso-to-solve-jizu-zuhe
- 利用PSO算法，通过matlab平台实现，旨在解决机组优化问题，适合初学者了解粒子群算法及其应用，程序内有相关注释，为避免算法陷入局部最优，对相关算子做了适当改进。 -Xin an river model, using the PSO algorithm, through the matlab platform, aims to solve the optimal problem, suitable for beginners to understand particle swarm alg