搜索资源列表
neural-network-and-genetic-algorithm
- 对于未知的非线性函数，仅通过函数的输入输出数据难以准确寻找函数极值，这类问题可以通过神经网络结合遗传算法求解，利用神经网络的非线性拟合能力和遗传算法的非线性寻优能力寻找函数极值。-For unknown nonlinear function, only through the function of input and output data is difficult to accurately find the function extreme value, this kind of prob
gaxunyou
- 神经网络遗传算法函数极值寻优-非线性函数极值-Neural Network Genetic Algorithm optimization function extreme- Extreme nonlinear function
the-simple-use-of-ga
- 对遗传算法在函数极值的运算中进行简单的应用-Of genetic algorithm in the extremum of function of operation for simple applications
chapter4
- 本算法是基于神经网络遗传算法函数极值寻优。具体用法见源代码内注释- U672C u7B97 u6CD5 u662F u57FA u4E8E u795E u7ECF u7F51 u7EDC u9057 u4F20 u7B97 u6CD5 u51FD u6570 u6781 u503C u5BFB u4F18 u3002 u5177 u4F53 u7528 u6CD5 u89C1 u6E90 u4EE3 u7801 u5185 u6CE
slgohithm_descent
- 用C++实现了梯度下降求多元函数极值的算法,有可能会陷入局部最优解-By c++ implementation of a gradient descent algorithm of multivariate function extreme value, is likely to fall into local optimal solution
ulash
- 用C++实现了模拟退火算法求多元函数极值,可以避免陷入局部最优解-By c++ implementation of a simulated annealing algorithm for multivariate function extreme value, can avoid falling into local optimal solution
genetic
- 对于未知非线性函数，利用非线性拟合能力和遗传算法的非线性寻优能力寻找函数极值。-For unknown nonlinear function, non-linear optimization capability by nonlinear fitting ability and genetic algorithm to find the extreme value functions.
Genetic
- 神经网络遗传算法函数极值寻优-非线性函数极值,包含多个m文件-Neural network genetic algorithm function extremum optimization nonlinear function extremum
chapter4
- 神经网络遗传算法函数极值寻优-非线性函数极值寻优-Neural network genetic algorithm function extremum optimization nonlinear function extremum optimization
cheek
- 用C++实现了梯度下降求多元函数极值的算法,有可能会陷入局部最优解-By c++ implementation of a gradient descent algorithm of multivariate function extreme value, is likely to fall into local optimal solution
haml
- 用C++实现了梯度下降求多元函数极值的算法,有可能会陷入局部最优解-By c++ implementation of a gradient descent algorithm of multivariate function extreme value, is likely to fall into local optimal solution
4632206
- 用C++实现了模拟退火算法求多元函数极值,可以避免陷入局部最优解-By c++ implementation of a simulated annealing algorithm for multivariate function extreme value, can avoid falling into local optimal solution
yuqunsuanfa
- 人工鱼群算法求解函数极值问题，对于多极值问题可以跳出局部最优，寻求到全局最优。(Artificial fish swarm algorithm for function extremum problem)
HJ
- 最优化极值搜索中用黄金分割法求解一维函数的极值，算法简单希望采纳(Optimization extremum search, the golden section method to solve the extremum of one-dimensional function, the algorithm is simple, hope to adopt)
chapter4
- 神经网络遗传算法函数极值寻优——非线性函数极值寻优(Neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking)
遗传算法
- 基本的遗传算法实现，求解函数极值，简单易懂，适用于初学者(Basic genetic algorithm to solve the extremum of function)
黄金分割法
- 用黄金分割法求任一函数的极值，包括进退法子程序，黄金分割法子程序，及函数子程序(Use the golden section method to find the extreme value of any function)
createFit
- 极值分布拟合 MATLAB程序 主要针对实测风速数据(Extreme value distribution fitting)
单目标粒子群算法寻优
- 利用粒子群优化算法，对单目标函数寻优，寻找函数的极值。(Searching for the extremum of a function by searching the single objective function.)
chapter4
- 神经网络遗传算法函数极值寻优——非线性函数极值寻优(Neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking)