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csademo
- 这是一个基于模拟退火算法的混沌神经网络模型-This is an algorithm based on simulated annealing chaotic neural network model
LS-SVM_Based_on_PSO
- 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法,是英文
psoandimprovedpso
- 基本粒子群优化算法和改进粒子群优化算法程序,包括:用基本粒子群算法求解无约束优化问题,用带压缩因子的粒子群算法求解无约束优化问题,用线性递减权重粒子群优化算法求解无约束优化问题,用自适应权重粒子群优化算法求解无约束优化问题,用随机权重粒子群优化算法求解无约束优化问题,用学习因子同步变化的粒子群优化算法求解无约束优化问题,用学习因子异步变化的粒子群优化算法求解无约束优化问题,用二阶粒子群优化算法求解无约束优化问题,用二阶振荡粒子群优化算法求解无约束优化问题,用混沌粒子群优化算法求解无约束优化问题,
cpslssvm
- 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization and Simulated Annealing least squares support vector machine parameter self-selection method
pso
- 粒子群优化算法是一种进化优化技术,源于对鸟群扑食的行为,是一种基于迭代的优化工具。此文件提供了基本粒子群算法、带压缩因子的粒子群算法、二阶粒子群算法、二阶振荡粒子群算法、权重改进的粒子群算法、混沌粒子群算法、基于杂交的粒子群算法、基于模拟退火的粒子群算法的MATLAB源代码。-PSO is an evolutionary optimization technique, derived from the behavior of the birds of prey, is based on iter
ApplicationofLeastSquareSupportVectorMachine
- 基于粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法预测混沌序列-anessayaboutchaospredictionbyPSOLSSVM
monituihuo
- 基于混沌的模拟退火算法,计算机的优化算法,是毕设的内容-Chaotic simulated annealing algorithm, the computer algorithm is complete contents of set
pso-program
- 各种粒子群算法程序,包含基本粒子群,带压缩因子的粒子群算法,权重改进的粒子群算法,变学习因子的粒子群算法,二阶粒子群算法,混沌粒子群算法以及模拟退火的粒子群算法,功能很强大,经过实测可以直接应用-A variety of particle swarm optimization procedures, including elementary particles group with compression factor of the particle swarm algorithm, the w
PSO
- 文件包括带压缩因子的粒子群算法,权重改进的粒子群算法,自适应权重法,随机权重法,变学习因子的粒子群算法,异步变化的学习因子,二阶粒子群算法,二阶振荡粒子群算法,混沌粒子群算法,混合粒子群算法,杂交粒子群算法,模拟退火算法-File with compression factor of the particle swarm algorithm, the weight to improve particle swarm optimization, adaptive weighting method,
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- 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization Algorithm and Simulated Annealing least squares support vector machine parameters from selection method
3
- 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization Algorithm and Simulated Annealing least squares support vector machine parameters from selection method
PSO
- 粒子群优化算法容易陷入局部极值点、进化后期收敛速度慢、精度较差等缺点,提出混沌模拟退火粒子群优化(PSO)算法-particle swarm optimization
PSO
- 各种粒子群或改进型粒子群算法 1)粒子群优化算法(求解无约束优化问题) 1>PSO(基本粒子群算法) 2>YSPSO(待压缩因子的粒子群算法) 3>LinWPSO(线性递减权重粒子群优化算法) 4>SAPSO(自适应权重粒子群优化算法) 5>RandWSPO(随机权重粒子群优化算法) 6>LnCPSO(同步变化的学习因子) 7>AsyLnCPSO(异步变化的学习因子)(算法还有bug) 8>SecPSO(用二阶粒
PSO
- 用二阶振荡粒子群优化算法、混沌粒子群优化算法、基于选择的粒子群优化算法、基于交叉遗传的粒子群优化算法、基于模拟退火的粒子群优化算法求解无约束优化问题-Second order oscillation PSO, chaotic particle swarm optimization algorithm, particle swarm optimization, genetic optimization algorithm based on cross particle swarm optimiza
mounituihuoshiyan3
- 利用模拟退火算法优化网络参数,构建混沌神经网络-Simulated annealing
junnao
- 基于matlab GUI界面设计,实现了对10个数字音的识别,基于混沌的模拟退火算法。- Based on matlab GUI interface design, To achieve the recognition of 10 digital sound, Chaos-based simulated annealing algorithm.
nanyou_v14
- 基于混沌的模拟退火算法,包括面积、周长、矩形度、伸长度,利用最小二乘法进行拟合多元非线性方程。- Chaos-based simulated annealing algorithm, Including the area, perimeter, rectangular, elongation, Multivariate least squares fitting method of nonlinear equations.
nd721
- 基于混沌的模拟退火算法,利用最小二乘法进行拟合多元非线性方程,在matlab R2009b调试通过。( Chaos-based simulated annealing algorithm, Multivariate least squares fitting method of nonlinear equations, In matlab R2009b debugging through.)
基于模拟退火算法的混沌神经网络模型
- 基于模拟退火算法混沌神经网络的matlab程序(Matlab program of chaotic neural network based on simulated annealing algorithm)
基于混沌自适应粒子群优化的matlab程序
- 文件包括带压缩因子的粒子群算法,权重改进的粒子群算法,自适应权重法,随机权重法,变学习因子的粒子群算法,异步变化的学习因子,二阶粒子群算法,二阶振荡粒子群算法,混沌粒子群算法,混合粒子群算法,杂交粒子群算法,模拟退火算法(Documents including particle swarm algorithm with compression factor, weighting the improved particle swarm algorithm, adaptive weight meth