Graphics gems, Vol.1
上传时间： 2013-12-08
上传用户：gundan
TCP / IP Vol II Commer
上传时间： 2017-06-04
上传用户：coeus
The Art of Computer Programming（Vol.1 Fundamental Algorithms）
标签： Programming Fundamental Algorithms Computer
上传时间： 2013-11-28
上传用户：爺的气质
use Holtek HT83F60 flash voice MCU edit,function:Play PCM12 Voice ,sentence ,Vol control,Stop voice demo by PA0~PA7
标签： voice function sentence control
上传时间： 2013-12-25
上传用户：FreeSky
Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble. Reference: Z.-H. Zhou and Y. Yu. Ensembling local learners through multimodal perturbation. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, Vol.35, no.4, pp.725-735.
标签： Description Randomness Attribute Filtered
上传时间： 2015-04-10
上传用户：ynzfm
Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, Vol.35, no.6, pp.1098-1107.
标签： Description supervised algorithm S-ISOMAP
上传时间： 2015-04-10
上传用户：wfeel
Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, Vol.7, no.1, pp.37-42. 使用神经网络集成方法诊断糖尿病,肝炎,乳腺癌症的案例研究.
标签： comprehensibl Description Rule-PANE accurate
上传时间： 2013-11-30
上传用户：wcl168881111111
基于Volterra滤波器混沌时间序列多步预测 作者：陆振波，海军工程大学 欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页 电子邮件：luzhenbo@sina.com 个人主页：luzhenbo.88uu.com.cn 参考文献： 1、张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03 2、Scott C.Douglas, Teresa H.-Y. Meng, Normalized Data Nonlinearities for LMS Adaptation. IEEE Trans.Sign.Proc. Vol.42 1994 文件说明： 1、original_MultiStepPred_main.m 程序主文件,直接运行此文件即可 2、original_train.m 训练函数 3、original_test.m 测试函数 4、LorenzData.dll 产生Lorenz离散序列 5、normalize_1.m 归一化 6、PhaSpaRecon.m 相空间重构 7、PhaSpa2VoltCoef.dll 构造 Volterra 自适应 FIR 滤波器的输入信号矢量 Un 8、TrainTestSample_2.m 将特征矩阵前 train_num 个为训练样本，其余为测试样本 9、FIR_NLMS.dll NLMS自适应算法
上传时间： 2013-12-16
上传用户：talenthn
windows mobile 下的数据库操作的小程序。不是采用的ADO方式，而是对基于windows mobile的特殊的数据库形式Vol进行操作。
上传时间： 2015-06-30
上传用户：xiaoyunyun
空时正交编码源程序，参考文献： V.Tarokh,H. Jafarkhani,and A. R. Calderbank "Space-Time Codes from ％Orthogonal Designs",IEEE Trans. Inform. Theory Vol. 45,NO. 5,JULY 1
上传时间： 2013-12-26
上传用户：fandeshun
