约束条件下的序列模式挖掘（带约束）

针对现有遗传算法在多维非线性优选方面的不足，本文提出了一种基于小生境进化算法（NEA）的非线性优选模型，探讨了NEA算法的参数选择原则。通过大量仿真和比较，表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点，并能在全局范围内有效搜索所有最优解。 -against existing genetic algorithms in three-dimensional nonlinear optimization for the shortage, the paper presents a niche evolutionary algorithm (NEA) nonlinear optimization model, the NEA on the parameters chosen algorithm principle. Through simulation and large, the algorithm shown in a complex nonlinear optimization is fast, efficient, robust features of the strong, and the global scope effective search all the optimal solution.

人工神经网络理论在井渠结合灌区地下水动态预报中的应用-wenjian

我自己编写的A*搜索算法，效率还是很不错的，推荐。-myself prepared by the A* search algorithm, the efficiency is still very good and recommended.

单神经元pid源码实现，对初学的朋友很有帮助-The program can realize single neural pid with MATLAB.The algorithm is simple and easy to understand.

模式识别中的ISODATA算法演示-pattern recognition algorithms demonstrated the ISODATA

股票交易系统自动根据指标进行相关的交易系统-Automatic stock trading system in accordance with indicators related to the trading system

用mathlab编写的经典的模拟退火应用程序，包括图着色问题，最大截问题等-Mathlab prepared to use the classic simulated annealing applications, including graph coloring problem, the largest cut-off problems

牌照自动识别-license Automatic Identification

一种通过自组织竞争学习网络实现数据降维和可视化的单层神经网络模型。用此算法可以把输入空间的多维映射到低维的（一维或者二维）的离散网络上，并将保持相同性质的输入数据在映射到低维空间时的拓扑一致性。iris以及letter两个数据集进行分类-A competitive learning through self-organizing network for data dimensionality reduction and visualization of single-layer neural network model. Using this algorithm can be multi-dimensional input space is mapped to the low-dimensional (one-dimensional or two-dimensional) discrete network, and will remain the same as the nature of the input data is mapped to the low-dimensional space of topological consistency. iris as well as the letter the two data sets to classify

MFD－多变量系统频域设计工具-MFD- multivariable frequency-domain system design tools