搜索资源列表
BP_genetic
- 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 the function extremum optimizing _ nonlinear function extremum
YQSF
- 鱼群算法函数寻优，以求解在约束条件下的极值。给出两个实例-Artificial fish swarm algorithm function optimization, in order to solve the constrained extreme value.Two examples are given
Genetic-Algorithms
- 该程序是遗传算法优化BP神经网络函数极值寻优，该代码为基于神经网络遗传算法的系统极值寻优。-The program is a genetic algorithm to optimize BP neural network function extremum optimization, the code optimization system based on neural network genetic algorithm extremum.
Genetic-Algorithm
- 神经网络遗传算法函数极值寻优-非线性函数极值。-Genetic algorithm to optimize BP neural network- a non-linear function fitting.
GA
- 神经网络遗传算法函数极值寻优-非线性函数极值 遗传算法典型实例-Neural network genetic algorithm function optimization extreme- typical examples of the non-linear function of the extreme genetic algorithm
PSO
- 基于粒子群优化算法PSO的非线性函数极值寻优-Based on Particle Swarm Optimization PSO optimization extreme nonlinear function
Extreme-nonlinear-function
- 神经网络训练拟合根据寻优函数的特点构建合适的BP神经网络,用非线性函数的输入输出数据训练BP神经网络,训练后的BP神经网络就可以预测函数输出。遗传算法极值寻优 把训练后的BP神经网络预测结果作为个体适应度值,通过选择、交叉和变异操作寻找函数的 全局最优值及对应输入值。 -Neural network training function fitting based optimization features built right on BP neural network, using
Nonlinear-system-modeling
- 本课题首先根据寻优函数的特点构建合适的BP神经网络,用非线性函数的输入输出数据训练BP神经网络,训练后的BP神经网络就可以预测函数输出。遗传算法极值寻优 把训练后的BP神经网络预测结果作为个体适应度值,通过选择、交叉和变异操作寻找函数的 全局最优值及对应输入值。 -Neural network training function fitting based optimization features built right on BP neural network, using no
shenjingwangluoyichuansuanfa
- 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
chapter26
- 粒子群优化算法的巡游算法-非线性函数极值寻优-Particle swarm optimization algorithm Parade- nonlinear function optimization extreme
eg4-feixianxinghanshujizhi
- 《MATLAB神经网络30个案例分析》中的第4个例子，案例4 神经网络遗传算法函数极值寻优-非线性函数极值。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of 4 example, case 4 optimization extreme genetic algorithm neural network function- nonlinear function extremum. Hope to have certain h
-extreme-nonlinear-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 nonlinear function
Immune-particle-swarm-algorithm
- 免疫粒子群算法，这种免疫粒子群优化算法结合了粒子群优化算法具有的全局寻优能力和免疫系统的免疫信息处理机制，并且实现简单，改善了粒子群优化算法摆脱局部极值点的能力。-Immune particle swarm algorithm, this immune particle swarm optimization PSO combines the global optimization ability of the immune system and immune mechanisms of info
steepest-descent-method
- 使用最速下降法求解二元函数的极值，内含区间取半法的一维寻优，有实例和说明，不只是算法。-Using the steepest descent method for solving the dual function of extremes, containing half the interval to take a one-dimensional optimization method, there are examples and illustrations, not just algori
chapter4
- 神经网络遗传算法函数极值寻优——非线性函数极值寻优-Function neural network genetic algorithm optimization extreme- extreme nonlinear optimization
tsp_pso
- ： 针对粒子群优化算法易陷入局部极值的缺点， 提 出一种改进粒子群算法， 该算法借鉴贪婪算法的思想初始化种群， 利用两 个种群同时寻优， 并将遗传算法中交叉和变异操作引入其 中， 实现种群间的信息共享。-I n a l l u s i o n t o p a r t i c l e s wa r m o p t i mi z a t i o n b ei n g pr on e t o g e t i n t o l oc a l mi n i mu m， a n
Bp_Ada_Sort
- 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 optimization function extreme nonlinear function extreme optimization
BP-curve-in-MATLAB
- 该压缩包包含神经网络在MATLAB里的应用： 1、非线性函数拟合 2、RBF网络-非线性函数回归 3、粒子群算法非线性极值寻优 4、神经网络极值寻优 5、神经网络建模自变量降维 6、BP网络-非线性函数回归-The archive contains neural network in MATLAB: 1, non-linear function fitting 2, RBF network- 3 nonlinear function regression, nonline
Extremaloptimization
- 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 optimization function extreme nonlinear function extreme optimization
BP_GA_optimal
- 应用遗传算法，基于BP神经网络的非线性函数极值寻优程序-Application of genetic algorithms, non-linear function BP neural network optimization procedures based on extreme