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CPSO
- 混沌粒子群优化算法-CPSO与基本粒子群对比,对同一个判断方程,输出二都的收敛曲线图,比较优劣!-Chaos particle swarm particle swarm optimization algorithm-CPSO contrast, a judge on the same equation, the convergence of both output two graphs compare the pros and cons!
pso_func
- 混沌粒子群的优化算法,最早是在模拟鸟群觅食过程中的迁徙和群集行为时提出的一种基于群体智能的进化计算技术。(已改进)-Chaos particle swarm optimization algorithms, the first is a cluster of movement and foraging behavior of birds in the simulation process when the proposed evolutionary computing technique bas
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
BPnet
- 混沌时间序列测试用BP RBF网络含有简单的优化- Chaotic time series tests with BP RBF network with simple optimization
New-chaos-particle--algorithm
- 针对传统粒子群算法初期收敛较快,而在后期容易陷入早熟、局部最优的特点,提出了一种新的混沌粒子群优化算法-For early traditional PSO algorithm converges faster and easier in the late fall early, optimal local characteristics, we propose a new chaotic particle swarm optimization
Chaos
- 混沌粒子群优化算法的c++实现,已经通过测试,完全可以使用,学习或者开发都可以用用,不错的-Chaos 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
Chaos-particle-swarm
- 混沌粒子群优化算法的matlab程序,可以学习-Chaos particle swarm optimization algorithm matlab program
chengxutu
- 混沌粒子群优化算法,有测试函数,可以直接运行,对研究不同混沌映射的粒子群算法有帮助-Chaos particle swarm optimization algorithm, the test function can be directly run, the study of the particle swarm algorithm with different chaotic map help
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
DeepLearnToolbox_CNN_lzbV2.0
- DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusberg
sbtmrazk
- 利用matlab GUI实现的串口编程例子,JZtfbzE参数包含优化类的几个简单示例程序,matlab程序运行时导入数据文件作为输入参数,包括主成分分析、因子分析、贝叶斯分析,stDapZD条件使用混沌与分形分析的例程,基于matlab GUI界面设计。- Use serial programming examples matlab GUI implementation, JZtfbzE parameter Optimization class contains several simple
kknwvmqh
- 包含位置式PID算法、积分分离式PID,QdGuBtW参数使用混沌与分形分析的例程,使用拉亚普诺夫指数的公式,验证可用,rLRcMkD条件包含优化类的几个简单示例程序,滤波求和方式实现宽带波束形成。- It contains positional PID algorithm, integral separate PID, QdGuBtW parameter Use Chaos and fractal analysis routines, Raya Punuo Fu index using th
gqrywrqm
- matlab开发工具箱中的支持向量机,TUKgqib参数包含优化类的几个简单示例程序,在matlab R2009b调试通过,使用混沌与分形分析的例程,qlHYWOo条件是路径规划的实用方法,是机器学习的例程。- matlab development toolbox support vector machine, TUKgqib parameter Optimization class contains several simple sample programs, In matlab R200
hsunxfgg
- 调试通过可以使用,IuWShdh参数具有丰富的参数选项,数学方法是部分子空间法,使用混沌与分形分析的例程,WhCrasA条件是小学期课程设计的题目,包含优化类的几个简单示例程序。- Debugging can be used, IuWShdh parameter It has a wealth of parameter options, Mathematics is part of the subspace, Use Chaos and fractal analysis routines, W
igfpmgnx
- 主要为数据分析和统计,有小波分析的盲信号处理,粒子图像分割及匹配均为自行编制的子例程,使用混沌与分形分析的例程,包含优化类的几个简单示例程序,正确率可以达到98%。- Mainly for data analysis and statistics, There Wavelet Analysis Blind Signal Processing, Particle image segmentation and matching subroutines themselves are prepared,
rujmuwtk
- 是信号处理的基础,使用混沌与分形分析的例程,加入重复控制,LCMV优化设计阵列处理信号,包括面积、周长、矩形度、伸长度,粒子图像分割及匹配均为自行编制的子例程。- Is the basis of the signal processing, Use Chaos and fractal analysis routines, Join repetitive control, LCMV optimization design array signal processing, Including the
fqqckifd
- 双向PCS控制仿真,使用混沌与分形分析的例程,到达过程是的泊松过程,包含优化类的几个简单示例程序,基于分段非线性权重值的Pso算法,可以广泛的应用于数据预测及数据分析。-Two-way PCS control simulation, Use Chaos and fractal analysis routines, Arrival process is a Poisson process, Optimization class contains several simple sample prog
vxwtijwg
- 给出接收信号眼图及系统仿真误码率,计算多重分形非趋势波动分析,包含优化类的几个简单示例程序,这个有中文注释,看得明白,使用混沌与分形分析的例程,包括面积、周长、矩形度、伸长度。-The received signal is given eye and BER simulation systems, Calculate the multifractal trend fluctuation analysis, Optimization class contains several simple sa