搜索资源列表
PSO26
- 粒子群算法 寻优算法非线性函数 极值 寻优-Particle Swarm Optimization Algorithm for the optimization of nonlinear function extremum
Particle-swarm-optimization
- 粒子群算法的寻优算法-非线性函数极值寻优-Particle swarm optimization algorithm- Extreme nonlinear function optimization
jizhizuiyou
- 已调试好的神经网络遗传算法函数极值寻优-非线性函数极值的算法程序-Has debugging function neural network genetic algorithm optimization extreme- extreme nonlinear function of the algorithm
optimization-algorithm
- 神经网络案例：粒子群算法的寻优算法-非线性函数极值寻优-Neural network case: particle swarm optimization algorithm- extreme optimization of nonlinear function
matlab1
- 神经网络遗传算法函数极值寻优--非线性函数极值代码，内附有详细代码，详细请参考matlab在数学建模中的应用。-Neural network genetic algorithm function optimization extreme- extreme nonlinear function code, containing a detailed code, matlab details please refer to the application of mathematical modeli
extreme-non-linear-function
- 神经网络遗传算法函数极值寻优-非线性函数极值-Function neural network genetic algorithm optimization extreme- extreme non-linear function
shenjingwagnluoyichuan
- 神经网络遗传算法，matlab，用于函数极值寻优-非线性函数极值，源代码-Neural network genetic algorithm, matlab, for function optimization extreme- extreme non-linear function, source code
lizisuanfa
- 粒子群算法的寻优算法，matlab，神经网络，非线性函数极值寻优-Particle swarm optimization algorithm, matlab, neural networks, nonlinear optimization function extremum
genetic-algorithm-and-nonlinea
- 基于遗传算法和非线性规划的函数寻优算法在一组等式或者不等式的约束下求极值。 基于遗传算法和非线性规划的函数寻优算法 在一组等式或者不等式的约束下求极值。-Based on genetic algorithm and nonlinear programming function optimization algorithm in a set of equations or inequality constraints for extreme value. Based on geneti
bpycl1
- 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 function optimization nonlinear function extreme value
PSO
- 粒子群算法的寻优算法-非线性函数极值寻优-Particle swarm optimization algorithm- nonlinear function optimization extreme
eg26-jizhixunyou
- 《MATLAB神经网络30个案例分析》中的第26个例子，案例26 粒子群算法的寻优算法-非线性函数极值寻优。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of 26 example, 26 cases of particle swarm algorithm optimization extreme - nonlinear function optimization algorithm. Hope to have certa
Particle-swarm
- 粒子群算法的寻优算法实现非线性函数极值寻优。-Particle swarm optimization algorithm to achieve extreme nonlinear optimization.
M-PSO
- 在粒子群算法的基础上进行改进的动态粒子群寻优算法，对于动态环境可以完成有效寻优，跟踪动态极值-On the basis of improved particle swarm optimization dynamic particle swarm optimization algorithm for dynamic environment optimization can be done effectively, track dynamic extremes
pso
- 粒子群算法的寻优算法-非线性函数极值寻优- Optimization algorithm of particle swarm optimization algorithm for nonlinear function optimization
Particle-Swarm-Optimization
- 微粒群算法的寻优算法：PSO算法参数设置、种群初始化、寻找初始极值、迭代寻优-Particle swarm optimization algorithm: PSO algorithm, parameter settings, population initialization, looking for the initial extremum, iterative optimization
PSO
- 粒子群搜索算法的一个简单的仿真程序的编写。根据PSO算法原理，在MATLAB中编程实现基于PSO算法的函数极值寻优算法。(A simple simulation program of particle swarm search algorithm. According to the principle of PSO algorithm, based on PSO algorithm, a function extreme optimization algorithm based on PSO a
PSOsuanfa
- 该代码为基于变异粒子群算法的函数极值寻优算法，选择合适的参数，通过迭代寻优，最后得到最优个体的适应度(This code is a function extremum optimization algorithm based on the mutation particle swarm optimization algorithm, selects the appropriate parameters, and obtains the optimal individual fitness by
粒子群优化算法的寻优算法——非线性函数极值寻优
- 粒子群优化算法的寻优算法——非线性函数极值寻优(Particle swarm optimization algorithm -- nonlinear function extremum seeking optimization)
GA-PSO
- PSO算法计算函数极值时，常常出现早熟现象，导致求解函数极值存在较大的偏差，然而遗传算法对于函数寻优采用选择、交叉和变异算子操作，直接以目标函数作为搜索信息，以一种概率的方式来进行，因此增强了粒子群优化算法的全局寻优能力，加快了算法的进化速度，提高了收敛精度。(When PSO algorithm calculates function extremum, it often appears premature phenomenon, which leads to large deviation