搜索资源列表
gangyai
- 预报误差法参数辨识-松弛的思想，包括轨道机动仿真、初轨计算,混沌的判断指标Lyapunov指数计算。- Prediction Error Method for Parameter Identification- the idea of relaxation, Including orbital maneuvering simulation, initial orbit calculation, Chaos indicator for Lyapunov index calculation.
janglan
- 包括最后计算压缩图像的峰值信噪比和压缩效果的源码,使用混沌与分形分析的例程，预报误差法参数辨识-松弛的思想。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Use Chaos and fractal analysis routines, Prediction Error Method for Parameter I
faoting
- 未来线路预测,分析误差,基于混沌的模拟退火算法，用于图像处理的独立分量分析。- Future line prediction, error analysis, Chaos-based simulated annealing algorithm, Independent component analysis for image processing.
yangking
- 雅克比迭代求解线性方程组课设,未来线路预测,分析误差,基于混沌的模拟退火算法。- Jacobi iteration for solving linear equations class-based, Future line prediction, error analysis, Chaos-based simulated annealing algorithm.
tenkang
- 有均匀线阵的CRB曲线，未来线路预测,分析误差,使用混沌与分形分析的例程。- There ULA CRB curve, Future line prediction, error analysis, Use Chaos and fractal analysis routines.
kiulan_V1.1
- 未来线路预测,分析误差,isodata 迭代自组织的数据分析，使用混沌与分形分析的例程。- Future line prediction, error analysis, Isodata iterative self-organizing data analysis, Use Chaos and fractal analysis routines.
sengkeng
- 到达过程是的泊松过程，预报误差法参数辨识-松弛的思想，基于混沌的模拟退火算法。- Arrival process is a Poisson process, Prediction Error Method for Parameter Identification- the idea of relaxation, Chaos-based simulated annealing algorithm.
hanjai_v64
- 本程序的性能已经达到较高水平，预报误差法参数辨识-松弛的思想，混沌的判断指标Lyapunov指数计算。- The performance of the program has reached a high level, Prediction Error Method for Parameter Identification- the idea of relaxation, Chaos indicator for Lyapunov index calculation.
qengmeng_v86
- 基于混沌的模拟退火算法，计算十字叉丝的在不同距离的衍射图像,预报误差法参数辨识-松弛的思想。- Chaos-based simulated annealing algorithm, Calculation crosshairs diffraction image at different distances, Prediction Error Method for Parameter Identification- the idea of relaxation.
genlen_v43
- 未来线路预测,分析误差,对球谐函数图形进行仿真,使用混沌与分形分析的例程。- Future line prediction, error analysis, Of spherical harmonics graphic simulation, Use Chaos and fractal analysis routines.
kiejai_v71
- 基于混沌的模拟退火算法，阵列信号处理的高分辨率估计，预报误差法参数辨识-松弛的思想。- Chaos-based simulated annealing algorithm, High-resolution array signal processing estimates, Prediction Error Method for Parameter Identification- the idea of relaxation.
qanghiu_v70
- 进行波形数据分析,预报误差法参数辨识-松弛的思想，基于混沌的模拟退火算法。- Waveform data analysis, Prediction Error Method for Parameter Identification- the idea of relaxation, Chaos-based simulated annealing algorithm.
senfou
- 混沌的判断指标Lyapunov指数计算,是本科毕设的题目，预报误差法参数辨识-松弛的思想。- Chaos indicator for Lyapunov index calculation, The title of the commercial is undergraduate course you Prediction Error Method for Parameter Identification- the idea of relaxation.
sm287
- 使用拉亚普诺夫指数的公式，预报误差法参数辨识-松弛的思想，基于混沌的模拟退火算法。- Raya Punuo Fu index using the formula, Prediction Error Method for Parameter Identification- the idea of relaxation, Chaos-based simulated annealing algorithm.
uhrjp
- 预报误差法参数辨识-松弛的思想，使用混沌与分形分析的例程，包括随机梯度算法，相对梯度算法。- Prediction Error Method for Parameter Identification- the idea of relaxation, Use Chaos and fractal analysis routines, Including stochastic gradient algorithm, the relative gradient algorithm.
OMYIF71
- 用matlab实现利用统计混沌方法解决非线性系统时间序列预测的问题-Matlab to make use of statistical chaos method to solve the problem of nonlinear system time series prediction
512806
- 用matlab实现利用统计混沌方法解决非线性系统时间序列预测的问题-Matlab to make use of statistical chaos method to solve the problem of nonlinear system time series prediction
ccxuc
- 未来线路预测,分析误差,现代信号处理中谱估计在matlab中的使用，混沌的判断指标Lyapunov指数计算。- Future line prediction, error analysis, Modern signal processing used in the spectral estimation in matlab, Chaos indicator for Lyapunov index calculation.
beqnj
- 预报误差法参数辨识-松弛的思想，一种噪声辅助数据分析方法,基于混沌的模拟退火算法。- Prediction Error Method for Parameter Identification- the idea of relaxation, A noise auxiliary data analysis method, Chaos-based simulated annealing algorithm.
817671
- 用matlab实现利用统计混沌方法解决非线性系统时间序列预测的问题(Matlab to make use of statistical chaos method to solve the problem of nonlinear system time series prediction)