登录
首页 » C++ » aiorOS-0.02.i386.src.tar

aiorOS-0.02.i386.src.tar

于 2015-01-04 发布 文件大小:178KB
0 335
下载积分: 1 下载次数: 1

代码说明:

  this is the minimal kernel for intel x86 architecture pc

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

  • jisuan3
    计算CM值,表征系统规整性的一个计算方法(Calculated CM values, characterize the system as a structured method of)
    2010-06-22 10:28:05下载
    积分:1
  • qpsk
    此为qpsk matalb仿真源程序,如有需要请谨慎下载(This is qpsk matalb simulation source, if necessary, download with caution)
    2011-05-29 14:35:39下载
    积分:1
  • viterbi_decoding_BER_BPSK
    Viterbi decoding for communication
    2011-10-08 22:33:46下载
    积分:1
  • 05231586
    Adaptive Kalman Filtering Based Location Coordination Algorithm for Wireless Sensor and Actor Networks
    2014-10-13 02:31:37下载
    积分:1
  • PMSMtables
    PMSM table for driver for PMSM motor
    2015-04-10 01:22:12下载
    积分:1
  • PhD_tool
    博士论文设计关于人脸识别 (Face recognition )
    2013-08-07 22:20:33下载
    积分:1
  • plot
    matlab绘图及GUI,介绍采用matlab进行二维、三维绘图等等(matlab graphics and GUI, using matlab introduce two-dimensional, three-dimensional graphics, etc.)
    2013-10-24 23:34:29下载
    积分:1
  • GUI-based-Satellite-Tracking
    GUI based Satellite Tracking System
    2014-12-30 06:47:25下载
    积分:1
  • add_channel_effect
    Add channel to cooperative diversty
    2015-01-05 23:40:34下载
    积分:1
  • chap8_2_ga
    说明:  遗传算法(Genetic Algorithm,GA)最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型,是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)
    2020-12-18 11:34:29下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载