搜索资源列表
cpso
- 提出多目标混沌粒子群优化算法并应用于机器人足球防守策略之中。在对方多名队员进攻情况下，通过该策略引导我方队员防守跑位，并选取我方位置最佳队员对对方主攻队员进行截球，从而达到成功防守的目的。-A robot soccer defensive strategy based on multi-objective chaotic particle swarm algorithm is proposed. When two or more opponents attack,
Bee-algorithm4
- Bee algorithm(1)信号处理、(2)人工智能与模式识别、(3)神经网络、(4)群体智能算法、(5)混沌分形、(6)图像处理、(7)数据挖掘、(8)Matlab与VC混合编程 -Bee algorithm
Bee-algorithm2
- Bee algorithm (1)信号处理、(2)人工智能与模式识别、(3)神经网络、(4)群体智能算法、(5)混沌分形-Bee algorithm Bee algorithm4
2
- 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
GS_CH_MOPSO_Grey
- 多目标非线性约束的粒子群算法，采用灰度理论，混沌理论，动态惩罚函数，可针对任何复杂函数进行优化，效果很好-Nonlinear constrained multi-objective particle swarm algorithm, using gray theory, chaos theory, dynamic penalty function can be optimized for any complex function, the effect is very good
G_P
- 求解混沌序列嵌入维和延迟时间的G_P算法-Solving chaotic sequence embedding dimension and delay time G_P algorithm
auto_embedding
- 基于自动算法求解混沌时间序列的嵌入维的程序-Automatic algorithm for embedding dimension of chaotic time series
PCA_dim
- 基于PCA主成分分析的混沌时间序列嵌入维求解算法-Based on PCA principal component analysis of chaotic time series embedding dimension algorithm
lyapunov_rosenstein
- 基于rosenstein法的混沌时间序列最大利亚普诺夫指数算法-Method based on chaotic time series rosenstein largest Liapunov exponent algorithm
Choas-immune-algorithm
- 混沌免疫算法，可用于图形处理，函数优化等，能够取得较好的效果。-Chaos immune algorithm can be used for graphics processing, function optimization, etc., can achieve better results.
Logistic-chaotic-improvements
- 结合混沌搜索的进化算法，利用logistic混沌映射与进化算法的结合解决问题-Logistic chaotic improvements
Lyapunov
- 一种最大Lyapunov指数的改进算法，以交通流混沌判别为例-Improved algorithm for maximum Lyapunov exponent, for example in order to determine the chaotic traffic flow
CLSPSO
- CLSPSO：用混沌粒子群优化算法求解无约束优化问题-CLSPSO: Chaos particle swarm optimization algorithm for solving unconstrained optimization problems
acpsomatlabchengxu
- 自适应混沌粒子群算法的matlab程序，有测试函数-Adaptive chaotic particle swarm algorithm matlab procedures, test function
PSO-ACPSOduibi
- 粒子群和自适应混沌粒子群算法的程序，作了简单对比-Chaos particle swarm optimization and adaptive particle swarm optimization program, made a simple comparison
chaos-time-series-prediction
- 混沌时间序列多步自适应预测方法，非常有用，采用自适应算法，比局部算法要准确-chaos time series prediction
G---P-algorithm-
- G-P算法计算关联维数，可以运用在混沌时间序列的瓦斯浓度预测研究中-GP algorithm to calculate the correlation dimension, you can use the gas concentration in the prediction of chaotic time series in
CorrelationDimension_GP
- 这是一个matlab程序， G-P算法计算混沌信号关联维的 Matlab 程序 -This is a matlab program, GP algorithm to calculate the correlation dimension of chaotic signals Matlab program
_ab2a1553c99663972265e106ea5efccb
- 混沌映射（序列）matlab算法“小全”：Logistic、Henon、帐篷、kent（含 混沌二值图像生成函数）-Chaotic map (sequence) matlab algorithm "Souvenir": Logistic, Henon, Tent, kent (including Chaos binary image generating function)