tushuguanli

matlab车牌识别，用c语言实现，已通过验证(matlab license plate recognition)

matlab code for image segmenation

基于BP神经网络的字符识别算法源代码，包括网络仅值训练方法，训练是通 过调用34个字符文件夹，识别率达到99.8 。(BP neural network-based character recognition algorithm source code, including the value of the network only training methods, training is by calling the 34-character file folders, the recognition rate of 99.8 .)

SPN的差分密码分析，建议选取的明密文对数量为8000+，太小可能结果有偏差(SPN Differential cryptanalysis, ciphertext clear recommendations for selected number of 8000+, too small deviations may result)

APF仿真模型，用于动态补偿系统的无功功率！(APF simulation model for dynamic compensation system reactive power!)

matabl filtered high frequency noisy

卡拉曼滤波器的c语言实现！非常好！很可以初学者使用！(Karaman filter c language! Very good!)

- XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer + Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts. +Reference papers: H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.(- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous- Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005.)

用cfd解1一维Riemann问题，采用二阶精度两步差分格式进行数值求解(Cfd solution with a one-dimensional Riemann problem, the use of second-order accurate numerical solution of the two-step difference scheme)

C Code example with EII