搜索资源列表
GARBF
- 采用遗传算法优化了RBF神经网络，以权重为引子的适应度函数。-Genetic algorithm is used to optimize RBF neural network weights, with reference to the fitness function.
weichushimallet
- 利用MATLAB语言编写的遗传算法优化小波神经网络的源程序-Genetic algorithm to optimize the wavelet neural network source code written in MATLAB language
mybp
- MATLAB语言编写的利用遗传算法优化小波神经网络的一个例子-MATLAB language, an example of the use of genetic algorithms to optimize the wavelet neural network
Matlab
- 对遗传算法优化工具箱的介绍，对初学者有帮助-a discr iption of GA-BP
GFCM
- 遗传算法优化模糊聚类算法，形成全部最优，克服初始值敏感问题。-By using the genetic algorithm to optimize the fuzzy clustering, form the overall convergence, contains brief code, choice, cross, the variation, FCM algorithm, etc.
gapetsvr
- 一个用于石油降解率预测的SVR程序，采用遗传算法优化支持向量回归模型的参数。供大家参考！-a SVR model for prediction of oil degradation rate. The parameters of SVR model was optimized by GA.
GABP123
- 遗传算法优化小波神经网络的程序 -Genetic algorithm to optimize the wavelet neural network program
GA-RBF
- 自适应遗传算法优化RBF神经网络，粒子群算法优化RBF神经网络仿真结果比较。程序可直接运行-Adaptive genetic algorithm to optimize the RBF neural networks, particle swarm optimization on RBF neural network simulation results compared. Program can be run directly
garbf
- ga遗传算法,遗传算法优化径向基神经网络-ga genetic algorithm, genetic algorithm optimized radial basis function neural network
GA
- 遗传算法优化测试函数，测试优化算法的性能-The genetic algorithm optimization test functions, test to optimize the performance of the algorithm
bp
- 用遗传算法优化神经网络结构，用MATLAB语言-Genetic algorithm optimization neural network structure, using the MATLAB language
0530ga-bp
- 遗传算法优化神经网络 用于城市轨道交通车站客流预测-The genetic algorithm optimization neural network for urban rail transit station passenger flow forecast
gabp
- 新版本的matlab代码 遗传算法优化神经网络预测城市轨道交通车站接驳客流总量-A new version of the matlab code genetic algorithm optimization neural network prediction of urban rail transit station connecting passenger total
genetic-optimization-to-solve-TSP
- 人工智能遗传算法优化解决TSP问题，很好用的代码-Artificial intelligence, genetic algorithm optimization to solve the TSP problem, a good code
the-BP-neural-network
- 遗传算法优化BP神经网络权值和阈值的通用MATLAB源码-Genetic algorithm to optimize the BP neural network weights and thresholds of common MATLAB source
ultra-low-sidelobe-pattern
- 基于对标准遗传算法中收敛依赖于初始群体选择的困难所作的分析,提出交替使用两种遗传繁殖操作 产生后代群体以摆脱收敛对初始群体选择的依赖. 对于超低副瓣线阵天线的方向图综合问题,建立了改进的遗传算法 优化模型.计算实例说明改进后的遗传算法其收敛不依赖于初始群体的选择,具有实际应用前景. -Difficulties by the analysis of convergence depends on the initial group selected based on the standa
gabpnn
- 遗传算法优化bp神经网络权值，用于函数回归预测。-The genetic algorithm optimization bp neural network weights for the prediction of function regression.
ga_bp
- 遗传算法优化神经网络阈值和权值程序,采用GA优化BP网络-GA to optimize BP network
gaPID
- 采用遗传算法优化传统PID控制，选取了合适的优化函数，采用实数编码-Genetic algorithm to optimize the traditional PID control, select the appropriate optimization function using real-coded
RBF1
- 粒子群算法、遗传算法优化的RBF神经网络程序-Particle swarm optimization, genetic algorithm optimization on RBF neural network program