资源列表
FORGETMETHODFORIDENTTIFICATION
- 遗忘因子法递推算法用于估计数学模型的参数，精确度较高-Fvrls recursive algorithm mathematical model used to estimate the parameters of the higher precision
IVMETHODFORIDENTIFICATION
- 用辅助变量法递推算法估计模型的参数，此法一般不用，但当其他方法效果不理想时可以试用-Auxiliary variable recursive algorithm estimate model parameters, the law generally does not, But other method is not ideal when probation
17identfitionbothforsrutctureandparament
- 可用于同时辨识模型阶次和参数，对于系统辨识和数学建模很重要。-also can be used for identification model order and parameters for system identification and mathematical modeling is very important.
19.NLJforsystemidentfition
- NLJ优化算法用于系统辨识程序，对于学习系统辨识与建模很有用-PID algorithm for the optimization of system identification procedures for identification and Learning System Modeling useful
GA488
- 遗传算法的程序，用MATLAB编写，很实用的。-GA procedures, using MATLAB prepared, very practical.
FingerPrintRecognitionVC++
- 一个不错的指纹识别算法，对于作指纹的同行而言，很具有启发作用，把它拿出来与大家共享-a good fingerprint recognition algorithm for fingerprint for the peer, it is very stimulating, and it up with the share
PatternRecognitionTools
- 模式识别的主要工具集合，对于作模式识别的同行而言，是一个非常好的软件包！ 希望大家多多补充，相互改进！-the main tool set for pattern recognition for the peer, it is a very good package! I hope Members can complement each other to improve!
jgap_2.5_src
- java实现的遗传算法， 他的设计需要最小集合的支持， 并且在这个基础上实现更复杂的遗传算法！ 目录结构如下： jgap_2.5_src.zip\\srcjgap_2.5_src.zip\\lib jgap_2.5_src.zip\\examples jgap_2.5_src.zip\\tests 还有相应的帮助-achieve the genetic algorithm, the design needs the support of the smallest p
BAM_Neural_Network
- BAM是一种两层的异联想，内容可寻址存储器组成的反馈网络。 分类：离散，连续 和自适应BAM等。 1987年和1988年由Kosko提出的BAM型。 网络运行是双向的。对网络的一端输入信号，则可在另一端得到输出，该输出又反馈回来，经过多次反复，直到网络达到稳态为止-BAM is a two-tier Heteroassociation, content addressable memory component of the feedback network. Classifica
C++BP
- C++的BP算法源程序，很经典的，可以参考啊！-C BP algorithm source, the classic, reference ah!
classifyMethord
- 描述了关于OCR的各种模式识别方法，包括各种分类算法。-describes the OCR on the pattern recognition methods, including classification algorithm.
yichuansuanfa_matlab
- 大量遗传算法实现程序，用ＭＡＴＬＡＢ实现．借花献拂！-large amounts of genetic algorithm procedures, using MATLAB. Presented by fu spent!