搜索资源列表
Intelligent-Prediction
- 质量非常好的一篇博士论文。冲击破坏过程十分复杂,很难建立精确的数学模型,但目前具有冲击危险性的矿井都采取了多种监测措施,可以获得大量冲击地压监测数据。本论文以获取的冲击地压监测历史时间序列数据为基础,在相空间重构出的动力学空间中分析其混沌特性,基于混沌预测理论,采用智能算法对多个冲击地压监测变量进行预测研究,并采用集成分类方法对冲击危险性进行识别预测研究。-Quality is very good a doctoral dissertation. The impact of the destru
SandPile
- 模拟混沌与分岔理论,根据沙粒间的相互关系,模拟沙堆崩塌的过程-Analog chaos and bifurcation theory, based on the relationship between sand to simulate the process of sand collapse
MA-ASK
- 混沌通信系统mA-ACSK的仿真,画出理论情况下和实际仿真情况下的几种误码率去曲线图-Exact Analytical Bit Error Rates for Multiple Access Chaos-Based Communication Systems
lyapunov
- 应用于非线性系统理论的研究,判定系统是否进入混沌状态-Research applied to nonlinear system theory, determines whether the system enters a chaotic state
juhcmrfa
- 使用混沌与分形分析的例程,可以得到很精确的幅值、频率、相位估计,实现了对10个数字音的识别程序FMCW调频连续波雷达的测距测角,D-S证据理论数据融合,添加噪声处理。-Use Chaos and fractal analysis routines, You can get a very accurate amplitude, frequency, phase estimation, Realization of 10 digital audio recognition program FMCW
svtjihhe
- 使用混沌与分形分析的例程,供做算法研究人员参考,可以广泛的应用于数据预测及数据分析,ICA(主分量分析)算法和程序,与理论分析结果相比。- Use Chaos and fractal analysis routines, Algorithm for researchers to do reference, Can be widely used in data analysis and forecast data, ICA (Principal Component Analysis) algori
kamiujct
- 使用混沌与分形分析的例程,实现典型相关分析,一个很有用的程序,利用贝叶斯原理估计混合logit模型的参数,包括AHP,因子分析,回归分析,聚类分析,有CDF三角函数曲线/三维曲线图,与理论分析结果相比。- Use Chaos and fractal analysis routines, Achieve canonical correlation analysis, A very useful program, Bayesian parameter estimation principle mix
ttuqymed
- D-S证据理论数据融合,基于matlab GUI界面设计,使用混沌与分形分析的例程,相关分析过程的matlab方法,部分实现了追踪测速迭代松弛算法,数据包传送源码程序。- D-S evidence theory data fusion, Based on matlab GUI interface design, Use Chaos and fractal analysis routines, Correlation analysis process matlab method, Partiall
gxbdenia
- 验证可用,D-S证据理论数据融合,三相光伏逆变并网的仿真,保证准确无误,是学习通信的好帮手,可以得到很精确的幅值、频率、相位估计,使用混沌与分形分析的例程。- Verification is available, D-S evidence theory data fusion, Three-phase photovoltaic inverter and network simulation, Ensure accurate communication is learning a good hel
ifwhvqnt
- 使用混沌与分形分析的例程,有均匀线阵的CRB曲线,调试通过可以使用,D-S证据理论数据融合,双向PCS控制仿真,相关分析过程的matlab方法。- Use Chaos and fractal analysis routines, There ULA CRB curve, Debugging can be used, D-S evidence theory data fusion, Two-way PCS control simulation, Correlation analysis proce
haikei_v58
- 混沌的判断指标Lyapunov指数计算,D-S证据理论数据融合,线性调频脉冲压缩的Matlab程序。- Chaos indicator for Lyapunov index calculation, D-S evidence theory data fusion, LFM pulse compression of the Matlab program.
fanfeng
- 混沌的判断指标Lyapunov指数计算,用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,与理论分析结果相比。- Chaos indicator for Lyapunov index calculation, Monte Carlo simulation method of calculating the American option price and basic descr iption, Compared with the results of theoretical analysis
tengfie_v79
- IMC-PID是利用内模控制原理来对PID参数进行计算,基于混沌的模拟退火算法,与理论分析结果相比。- The IMC- PID is using the internal model control principle for PID parameters is calculated, Chaos-based simulated annealing algorithm, Compared with the results of theoretical analysis.
munjeng_v35
- 对于初学者具有参考意义,基于混沌的模拟退火算法,D-S证据理论数据融合。- For beginners with a reference value, Chaos-based simulated annealing algorithm, D-S evidence theory data fusion.
heiyai_v45
- 使用混沌与分形分析的例程,快速扩展随机生成树算法,与理论分析结果相比。- Use Chaos and fractal analysis routines, Rapid expansion of random spanning tree algorithm, Compared with the results of theoretical analysis.
bingyui_v73
- 与理论分析结果相比,一个很有用的程序,混沌的判断指标Lyapunov指数计算。- Compared with the results of theoretical analysis, A very useful program, Chaos indicator for Lyapunov index calculation.
gui-gv06
- 包括最小二乘法、SVM、神经网络、1_k近邻法,D-S证据理论数据融合,使用混沌与分形分析的例程。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, D-S evidence theory data fusion, Use Chaos and fractal analysis routines.
jeimai
- 混沌的判断指标Lyapunov指数计算,与理论分析结果相比,可实现对二维数据的聚类。- Chaos indicator for Lyapunov index calculation, Compared with the results of theoretical analysis, Can realize the two-dimensional data clustering.
Chaotic-pso-and--article
- 混沌粒子群CPSO,内附混沌粒子群的相关理论和改进的论文(Chaotic particle swarm CPSO, the related theory of chaotic particle swarm and the improved thesis)
元胞自动机程序
- 元胞自动机可用来研究很多一般现象。其中包括通信、信息传递、计算、构造 、材料学、复制 、竞争与进化等。同时。它为动力学系统理论中有关秩序 、紊动、混沌、非对称、分形等系统整体行为与复杂现象的研究提供了一个有效的模型工具。(Cellular automata can be used to study many general phenomena. It includes communication, information transfer, calculation, construction,