登录
首页 » matlab » HMM0

HMM0

于 2013-04-08 发布 文件大小:1KB
0 247
下载积分: 1 下载次数: 5

代码说明:

  基于贝叶斯工具箱BNT的隐马尔科夫简单模型,比较适合新手的学习(More suitable for novice learning a simple model based on the the Bayesian toolbox BNT hidden Markov)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • mapleht
    maple 它的图形功能非常强大, 足以提供更多的关于函数的信息. 当然, 如果需要, 它的图形作适当改进即可满足出版要求. (maple graphics functions are very strong, and to provide more information about the function, of course. If necessary, it can improve the graphics for proper publication meet)
    2010-07-02 22:20:07下载
    积分:1
  • pvmpptVhill
    mppt hill climbing with solar cill model
    2010-10-27 01:36:54下载
    积分:1
  • fenxing
    分形方法工具箱。分形方法是非平稳信号的有效处理方法。(Fractal method toolbox. Fractal method of non-stationary signal and effective approach.)
    2021-02-04 10:09:58下载
    积分:1
  • CELP_done
    CELP matlab代码,作者:Sourav Mondal(CELP matlab)
    2014-02-21 23:07:12下载
    积分:1
  • 200732791233
    基于Matlab的BP神经网络在大气污染预报中的应用,希望能够对大家有所帮助(Matlab based on the BP neural network prediction of air pollution in the application, I hope everyone can help)
    2009-02-13 22:11:36下载
    积分:1
  • PN_sequences1_final
    说明:  PN code generation for any length of generator polynomial
    2020-10-09 16:47:36下载
    积分:1
  • INface_toolbox_illumination_invariant
    INface toolbox for illumination invariant face recognition
    2010-02-09 21:31:21下载
    积分:1
  • snake_demo
    snake_demo是个很好的学习snake的工具(snake_demo is a good tool for learning snake)
    2010-08-14 23:26:51下载
    积分:1
  • optimization-method_conjugate_gradient_Newton_met
    engineering optimization methods using newton method, quasi newton method, and conjugate gradient method
    2012-02-12 15:57:46下载
    积分:1
  • PSOGSA
    程序提出了一种基于人群混合算法,是粒子群优化和引力搜索算法的组合。主要目标提高整合PSO和GSA算法的能力(Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.)
    2014-05-16 10:32:46下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载