Matlab-code-802.11p

BP神经网络进行变量筛选，需应用平均影响值（MIV，mean impact value）方法，结合BP神经网络进行变量筛选。(BP neural network for variable selection requires the MIV (mean impact value) method and BP neural network for variable selection.)

Lab3 with simple decision fuzzy system

udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞

能够保存采集数据，保存到excle文档，以便于采集后数据保存(saving the collected data and save it to the excle document)

易语言编写浏览器active 例子,完整源代码,全部源码,无模块()

说明：  基于遗传算法、小波分析和神经网络的混合优化算法(Hybrid optimization algorithm based on genetic algorithm, wavelet analysis and neural network)

qt网络监控源码，从网上找的，对于学习很有用(qt network monitoring source, from the Internet to find, very useful for learning)

基于遗传算法的IEEE30节点无功优化程序，针对电网的电压损耗作为目标函数进行了优化，优化的目标是使得网损达到最小值。(IEEE30 node reactive power optimization based on genetic algorithm, in view of the grid voltage loss as objective function is optimized, the goal of optimization is to achieve minimum network loss.)

说明：  在如今这个处处以数据驱动的世界中，机器学习正变得越来越大众化。它已经被广泛地应用于不同领域， 如搜索引擎、机器人、无人驾驶汽车等。本书首先通过实用的案例介绍机器学习的基础知识，然后介绍一 些稍微复杂的机器学习算法，例如支持向量机、极端随机森林、隐马尔可夫模型、条件随机场、深度神经 网络，等等。 本书是为想用机器学习算法开发应用程序的 Python 程序员准备的。它适合 Python 初学者阅读，不过熟 悉 Python 编程方法对体验示例代码大有裨益。(Machine learning in Python)

Python机器学习——预测分析核心算法(MICHAEL BOWLES teaches machine learning at Hacker Dojo in Silicon Valley, consults on machine learning projects, and is involved in a number of startups in such areas as bioinformatics and high-frequency trading. Following an assistant professorship at MIT, Michael went on to found and run two Silicon Valley startups, both of which went public. His courses at Hacker Dojo are nearly always sold out and receive great feedback from participants.)