搜索资源列表
GA
- 本人机器学习大作业，详细阐述遗传算法。matlab环境下，针对具体例子，用遗传算法求极值。-My machine learning assignments, detailed in this paper, the genetic algorithm.Matlab environment, in view of the specific example, using genetic algorithm for extremum.
chapter4
- 这是一个基于神经网络遗传算法的系统极值寻优的代码-this is a code of genetic algorithm to calculate a extrme value of the system based on matlab
Genetic-Algorithm--function-extreme
- 基本遗传算法实现求函数极值,采用面向对象思想+模块化设计，可进行功能升级 ,注释非常清晰，可参考下.-Basic genetic algorithm function extremum seeking, object-oriented thinking+ modular design, can be upgraded functions, annotation is very clear, you can refer to the following.
PSO-GA
- 粒子群算法求解多维约束函数极值，并与遗传算法比较。结果发现，粒子群有很好的精度。-A particle swarm optimization algorithm for solving the extreme value of multi dimensional constrained function, and compared with genetic algorithm. The results show that the particle swarm has a good accurac
P5-1
- 遗传算法代码，计算确定函数式在【-2，2】上的极值，需要自己整合染色体区间-Genetic algorithm code, calculate and determine the function formula in [2,2] on the extreme value, we need to integrate their chromosomal interval
XWY_BP_net
- 这是一个用遗传算法对神经网络模型进行寻优，得到最优的输入和输出的程序，类似于对非线性函数极值寻优。-This is a neural network model optimization using genetic algorithm, the optimal input and output procedures, similar to Extreme nonlinear function optimization.
gene_test
- y=f(x,y,z...)基于遗传算法的单一目标函数寻求最优或者最小极值点-Single objective function optimization based on GA
GA
- GA函数极值寻优，有约束函数极值寻优，基于遗传算法的有约束的线性方程的最优值寻优-Genetic Algorithm
GA-BP
- 神经网络遗传算法用于非线性函数的极值寻优matlab代码-Extreme Optimization matlab code of neural network genetic algorithm for nonlinear function
GAqiujizhi
- 遗传算法求解函数极值问题，有图相说明适合初学者进行学习，还可以学习画图的方法，注释清晰，可运行查看-Genetic algorithm to solve the function extremum problem, there is a picture that is suitable for beginners to learn, you can also learn drawing method, the notes are clear, can run to view
GAs
- 遗传算法，一种优秀实用的智能优化算法，可有效避免局部极值解-Genetic algorithm, a kind of excellent and practical intelligent optimization algorithm, can effectively avoid the local extremum solution
mianyiyichuan
- 该算法既保留了遗传算法的搜索特性，又利用了免疫算法的多机制求解多目标函数最优解的自适应特性，在很大程度上避免了“早熟”，收敛于局部极值。 生物体的免疫系统是一个高度进化、复杂的系统，它能自适应地识别和排除入侵肌体的抗原性异物，保护机体免受损害及维持内坏境稳定，并具有学习、记忆和自适应调节的能力。当抗原入侵时，免疫系统通过自体耐受对‘自己’和‘非己’进行识别，并产生最恰当的抗体排除抗原，通过抗体与抗体之间、抗原与抗体之间的相互刺激和抑制关系，降低抗原对免疫细胞的刺激，抑制抗体的过度分化、增殖，
123
- 粒子群算法求极值蚁群算法求极值和遗传算法求极值-Particle Swarm extremum extremum ant colony algorithm and genetic algorithms Extreme
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
gamain
- 使用实数编码的遗传算法，进行多个函数的极值优化，可以运行-Using real-coded genetic algorithm, a plurality of extremal optimization function, you can run ,,
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
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