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mathmodel
- 这是一个好的建模学习资料,赶快下载吧, 数学建模十大算法 ( 包含:蒙特卡罗算法、数据拟合、参数估计、 插值等数据处理算法、线性规划、整数规划、多元规划、二次规划等规划类问题、 图论算法、动态规划、回溯搜索、分治算法、分支定界等计算机算法、 最优化理论的三大非经典算法：模拟退火法、神经网络、遗传算法、 网格算法和穷举法、一些连续离散化方法、数值分析算法、图象处理算法）-This a good model to study the information, downloa
9927412ANN_TRAIN
- 使用循环神经网络和动态神经网络算法实现的综合股票分析预测程序，程序可以自动从网上下载最新数据并分析，得出的结果可以以图形数字显示或保存在CSV文件中.ZIP-use of recycled neural networks and dynamic neural network algorithm to achieve the comprehensive analysis of stocks procedures, procedures can be automatically downloaded
jiegoufangchng
- 在提高训练中我们主要针对时序图分析，现代智能优化算法（遗传算法和蚁群算法），动态规划，排队理论，目标规划，层次分析以及决策论等相关理论做了比较深刻的了解。然后针对具体情况，具体问题进行建模训练，并加以上机实习。-In training, we aimed to improve timing diagram analysis, modern intelligent optimization algorithm (genetic algorithm and ant colony optimizati
test0_fix_interfence
- 认知无线电中基于干扰图模型的动态频谱分配。此程序是基于固定干扰图模型的分析代码-Cognitive radio interference graph model based on the dynamic spectrum allocation. This procedure is based on the analysis of the fixed interference graph model code
KF_Plot_Result
- 机器人运行轨迹描绘程序1，利用雅可比矩阵估计进行动态分析-Robot trajectory depicts the procedure to run 1, using the estimated Jacobian matrix for dynamic analysis
Matlab
- 基于Matlab的时间序列分析和动态数据建模 论文一篇 需要用CAJViewer查看-Matlab-based time series analysis and dynamic data modeling papers CAJViewer see a need to use
STLBP_VC
- Running this funciton each time to compute the LBP-TOP distribution of one video sequence. Reference: Guoying Zhao, Matti Pietikainen, "Dynamic texture recognition using local binary patterns with an application to facial expressions,"
merger
- 算法设计与分析中的动态规划算法中的石头合并问题的C++代码-Algorithm design and analysis of the dynamic programming algorithm in the stone merger of the C++ code
ISODATA
- ISODATA算法是一种聚类划分算法，称为迭代自组织数据分析或动态聚类。-ISODATA clustering algorithm is a partitioning algorithm, called iterative self-organizing data analysis or dynamic clustering.
donglifang
- 在提高训练中我们主要针对时序图分析，现代智能优化算法（遗传算法和蚁群算法），动态规划，排队理论，目标规划，层次分析以及决策论等相关理论做了比较深刻的了解。然后针对具体情况，具体问题进行建模训练，并加以上机实习。-In training, we aimed to improve timing diagram analysis, modern intelligent optimization algorithm (genetic algorithm and ant colony optimizati
jianmobaodian
- 在提高训练中我们主要针对时序图分析，现代智能优化算法（遗传算法和蚁群算法），动态规划，排队理论，目标规划，层次分析以及决策论等相关理论做了比较深刻的了解。然后针对具体情况，具体问题进行建模训练，并加以上机实习。-In training, we aimed to improve timing diagram analysis, modern intelligent optimization algorithm (genetic algorithm and ant colony optimizati
NEURO-GENETIC
- The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall performance of a specific
NEURO-GENETIC
- The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall performance of a specific
NEURO-GENETIC
- The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall performance of a specific
NEURO-GENETIC
- The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall performance of a specific
NEURO-GENETIC
- The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall performance of a specific
NEURO-GENETIC
- The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall performance of a specific
NEURO-GENETIC
- The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall performance of a specific
time-series-analysis-model
- 动态时间序列周期分析预测模型将多层递阶方法与逐步回归周期分析的基本原理相结合，可以对时间序列做较长周期的预测-Dynamic time series cycle analysis of the predictive model using multi-layer hierarchical approach
ndfa_control_1.0.1.tar
- 用于盲辨识的非线性动力因素分析，可用于PCA和BSS的非线性动态状态空间模型。-Nonlinear dynamic analysis of the factors used to blind identification can be used nonlinear dynamic state-space model of PCA and BSS.