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VC 遗传算法源码

于 2022-08-15 发布 文件大小:32.64 kB
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VC 遗传算法源码-VC genetic algorithm source code

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    2023-05-30 01:05:03下载
    积分:1
  • The program is based on the MATLAB environment, the issue of PSO realize tsp
    该程序是基于MATLAB环境的pso实现tsp问题-The program is based on the MATLAB environment, the issue of PSO realize tsp
    2022-01-25 16:21:23下载
    积分:1
  • 一个高人的VC实现NN的程序。很不错。先运行Matrixbase.dsw,again arithmetic.dsw, next nnbp.dsw,final n...
    一个高人的VC实现NN的程序。很不错。先运行Matrixbase.dsw,again arithmetic.dsw, next nnbp.dsw,final neuralNetWork.dsw.-an expert in VC NN procedures. Very good. First running Matrixbase.dsw, again arithmetic.dsw. next nnbp.dsw, final neuralNetWork.dsw.
    2022-01-25 14:36:12下载
    积分:1
  • 这是用实验函数
    这是用实验函数--Ackley函数来检验遗传算法的优越性,其中有点小毛病,就是种群数在20个左右效果最好,一旦增加种群,结果就不大对劲了。忙了好多天,也没调出来,还请各位大侠指点喽-This is the experimental function-- Ackley function to test the advantages of genetic algorithm, with a little fault, is the number of stocks in the 20 best around, once increased stocks, the result is not very comfortable having the. Busier afterwards, it was not stressed out, please Shanhaiguan kind Lackeys
    2022-02-25 00:04:31下载
    积分:1
  • 这是个解决八码问题的程序,是外国人编的,用了图形处理技术,请大家参考...
    这是个解决八码问题的程序,是外国人编的,用了图形处理技术,请大家参考-This is a solution of 8 yards procedures, the series is a foreigner, his use of graphics processing technology, please refer to
    2023-04-12 03:15:02下载
    积分:1
  • vb的波尔兹曼机(含模拟退火算法),有需要的可参考一下
    vb的波尔兹曼机(含模拟退火算法),有需要的可参考一下 -vb the Boltzmann machine (with simulated annealing algorithm), the need of a reference
    2022-11-30 20:40:03下载
    积分:1
  • Tutorial of RVM
    通俗的介绍了RVM与SVM的区别,写的非常通俗易懂-Tutorial of RVM
    2022-02-10 10:10:47下载
    积分:1
  • 仿真1:首先把网络温度参数T固定在100,按工作规则共进行1000次状态更新,把这1000次状态转移中网络中的各个状态出现的次数Si(i=1,2,…,16)记录
    仿真1:首先把网络温度参数T固定在100,按工作规则共进行1000次状态更新,把这1000次状态转移中网络中的各个状态出现的次数Si(i=1,2,…,16)记录下来 按下式计算各个状态出现的实际频率: Pi=Si/∑i=1,NSi=Si/M 同时按照Bo1tzmann分布计算网络各个状态出现概率的理论值: Q(Ei)=(1/Z)exp(-Ei/T) 仿真2:实施降温方案,重新计算 采用快速降温方案:T(t)= T0/(1+t) T从1000降到0.01,按工作规则更新网络状态 当T=0.01时结束降温,再让T保持在0.01进行1000次状态转移,比较两种概率-a simulation : First of all network parameters temperature T fixed at 100 and, according to the rules for a total of 1000 to update the state, this state of the 1000 network transfer of all states for the number of Si (i = 1, 2, ..., 16) all recorded determined by the formula state-of the actual frequency : Pi = Si/i = 1, NSi = Si/M in accordance with Bo1tzmann distributed computing network of states all probability the theoretical value : Q (Ei) = (1/Z) exp (- Ei/T) Simulation 2 : implementation of cooling, re-using rapid cooling programs : T (t) = T0/(1 t) T dropped to 0.01 from 1000 and, according to the rules updated network state when T = 0.01 at the end of cooling, let T at 0.01 for the 1000 state tran
    2022-08-06 06:55:50下载
    积分:1
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