资源列表
BP
- bp神经网络，其主要功能是用于风功率或风速时间序列预测- The bp neural network, its main function is used for wind power or wind speed forecasting
fastslam
- 压缩扩展卡尔曼滤波的同时定位与构图算法，自行设定路径和路标，动画显示定位过程-Compression and expansion of Calman filter simultaneous localization and mapping algorithm, set the path and road signs, animation display positioning process
FCM
- 在VS2010环境下用c++实现使用FCM模糊聚类分割图像,-FCM image segmentation using fuzzy clustering
ABC.c
- 人工蜂群ABC算法的VC++源代码，在四个基准目标函数下，经仿真测试可成功运行，对刚接触ABC的初学者很有帮助-ABC VC++ artificial bee colony algorithm source code, in the four benchmark objective function, the simulation tests can be run successfully, very helpful for beginners new to ABC
genetic-algorithem
- 使用遗传算法进行仓位规划，得到了较好的规划效果-Planning positions using genetic algorithm to obtain a better planning results
RandomForest
- 随机森林算法是一个可用于数据分类和显现回归的一个相当不错的算法，可实现很多功能。这个算法只需要将所需文件放入一个matlab路径中即可实现-A pretty good random forests algorithm is an algorithm for data classification and regression show, can achieve a lot of functionality. This algorithm only to the desired file into
LM
- 利用LM算法优化BP神经网络的matlab源程序。-LM algorithm to optimize the use of BP neural network matlab source.
GSO2
- 使用改进群搜索算法对种群进行优化，运用在电力系统中效果显著。-Using improved search algorithm to optimize a population group, used in power system.
convolutionalRBM.m-master
- 深度学习方法中的卷积受限玻尔兹曼机的必备学习源，有助于了解方法原理。-Convolution restricted boltzmann machine in deep learning approach, a necessary source of learning, helps to understand the method principle
tlbo
- TLBO算法.包含有基于经营策略的TLBO改进算法。-TLBO algoritham
DE_OS-ELM
- 用差分算法对在线惯序极限学习机的输入权值和偏置进行优化（本程序只限激励函数为sig），其学习时间比极限学习机分批进行学习总共的时间有所提升，诊断精度也提高了。-Algorithm using differential input weights and the bias line Extreme Learning Machine sequencer used to optimize (this program only excitation function for sig), its lear
Strategy.tar
- 重力四子棋程序，通过人工智能中的alpha-beta剪枝实现，AI的实力至少高于一般人的水平，人比较难下赢。通过调用getPoint函数获得下一个落子点的坐标-Gravity four chess program, through the realization of artificial intelligence in the alpha-beta pruning, the strength of AI at least a greater than average level, people