搜索资源列表
The-artificial-neural
- 人工神经网络识别字符，并用遗传算法，粒子群算法优化了神经网络权值-Artificial neural network to recognize the characters, and using genetic algorithms, particle swarm optimization neural network weights
30-case-studies
- MATLAB神经网络30个案例分析__读者调用案例的时候，只要把案例中的数据换成自己需要处理的数据，即可实现自己想要的网络。该书共有30个MATLAB神经网络的案例(含可运行程序），包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络；还包含PSO(粒子群）、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。-30 case studies of the MATLAB Neural Network __ readers call the case, as
pso-rbf
- 本文描述了粒子群算法与rbf神经网络相结合的应用，描述新颖，是一片不错的论文。-This paper describes the combination of the application of particle swarm optimization and rbf neural network, describe the novel, is a good paper.
psoyumatlab
- 应用粒子群优化算法实现bp神经网络的训练代码，并可用matlab仿真-Particle swarm optimization algorithm bp neural network training code, and can be used matlab simulation
Particle-swarm-optimization-(PSO)
- 粒子群优化算法（PSO）应用于神经网络优化程序-Particle swarm optimization (PSO) algorithm is applied to the neural network optimization 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
bppso
- 基于BP神经网络的改进粒子群算法，称为合作粒子群算法，能运行-Improved particle swarm optimization based on BP neural network, known as the cooperation of particle swarm algorithm, running
psoPbp
- 一段BP神经网络与粒子群MATLAB算法程序 有数据，有完整的程序-A BP neural network and the particle swarm algorithm MATLAB program
PSO-RBF
- 利用改进粒子群训练bp神经网络的matlab程序\利用改进粒子群训练RBF神经网络的-Improved Particle Swarm training bp neural network matlab program \ using improved particle swarm training RBF
PSO-bp
- 粒子群优化BP神经网络，使bp网络能更好的做预测输出。-Particle Swarm Optimization BP Neural Network, bp network better able to make predictions output.
mATLAB-intelligent-algorihtm
- 30个matlab经典智能算法案例分析，包括遗传算法、粒子群算法、神经网络相关案例-30 classic matlab intelligent algorithm case studies, including genetic algorithms, particle swarm optimization, neural networks case
Bppssopcnna
- 一种基于粒子群优化算法(PSO)确定参数的脉冲欧与神经网络滤波方法。。运用粒子群优化算法(PSO)确定pcnn图像滤波参数，对图像进行滤波 -Pulse Europe and the neural network filtering method based on particle swarm optimization (PSO) to determine the parameters. . Particle swarm optimization (PSO) to determine the
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
Tbp2h
- 利用粒子群PSO算法，设计一个使得前向神经网络的的训练得到最优问题。 -Using particle swarm PSO algorithm design one makes the feedforward neural network training optimization problem. , Tested
Optimize-the-RBF-Network
- 使用粒子群算法、遗传算法优化RBF径向基神经网络的matlab程序-Using particle swarm algorithm, genetic algorithm to optimize the RBF RBF neural network matlab program
PSO-RBF-5
- 一个基于粒子群优化径向基神经网络参数的程序-A radial basis function neural network parameters based on particle swarm optimization program
Ant-particle-swarm
- 基于蚁群粒子群的模糊神经网络交通流量预测，是做毕业设计参考的文献，希望对做交通流预测的同学有帮助-Ant particle swarm-based fuzzy neural network traffic flow forecasts, is doing graduate design reference literature, and help students to do traffic flow forecasting
chapter6
- 。《MATLAB智能算法30个案例分析》采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络算法等最常用的智能算法的MATLAB实现。对广大科研人员有很高的参考价值。-. MATLAB intelligent algorithm 30 case studies, the use of case the main line, the form of an intelligent algorithm to explain the genetic
MATLAB-30-Cases
- 。《MATLAB智能算法30个案例分析》采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络算法等最常用的智能算法的MATLAB实现。对广大科研人员有很高的参考价值。-. MATLAB intelligent algorithm 30 case studies, the use of case the main line, the form of an intelligent algorithm to explain the genetic
MOptimizationa
- Matlab粒子群算法优化RBF网络采用了粒子群算法对RBF神经网络中的参数进行了优化，，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强 -Matlab particle swarm algorithm to optimize the RBF network using particle swarm optimization of parameters in RBF neural network optimized, verified in a t