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【AI-NN-PR】 bpexamples DL : 0: 使用MATLAB6.5实现的自适应学习速率反向传播网络-Matlab6.5 achieved using adaptive learning rate back-propagation network
Update : 2024-05-19 Size : 8192 Publisher : 陈雷
【USB develop】 usbfx2lk DL : 0: USBFX2LK WDM drive for OSR s USB FX2 Learning Kit
Update : 2024-05-19 Size : 872448 Publisher : 温多明
【AI-NN-PR】 select-0[1].3.tar DL : 0: 使用具有增量学习的监控式学习方法。包括几个不同的分类算法。-use with incremental learning supervised learning method. Including several different classification algorithm.
Update : 2024-05-19 Size : 482304 Publisher : 徐欣
【AI-NN-PR】 javasom_1[1].0.0 DL : 0: Kohonen网络的学习过程可描述为：对于每一个网络的输入，只调整一部分权值，使权向量更接近或更偏离输入矢量，这一调整过程就是竞争学习。随着不断的学习过程，所有输入矢量都在输入矢量空间相互分离，形成了各自代表输入空间的一类模式，这就是Kohonen网络的特征自动识别的聚类功能。请解压缩后按照readme提示进行操作。-Kohonen network learning process can be described as follows : for each one network input, only part of adjusting the weights, weight vector closer to or further from the input vector, the adjustment process is competitive learning. With the continuous process of learning, all the input vector in the importation of vector space separate form their own representatives importation of a type of space, and this is a Kohonen network of automatic clustering functions. Please decompress after readme according to instructions.
Update : 2024-05-19 Size : 2543616 Publisher : 尤忠彬
【matlab】 S-Isomap DL : 0: 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.-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.
Update : 2024-05-19 Size : 31744 Publisher : 修宇
【AI-NN-PR】 C45Rule-PANE DL : 0: 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. -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.
Update : 2024-05-19 Size : 8192 Publisher : 修宇
【Other】 Learning_GNU_Emacs_3ed DL : 0: Learning GNU Emacs 3ed. Emacs和Vi是世界上最好用的编辑器，这本书是Emacs的入门教材。-Learning GNU Emacs 3ed. Vi and Emacs is the world's best editor of this book is a primer Emacs.
Update : 2024-05-19 Size : 5636096 Publisher : 李鸣
【Other】 Learning SQL DL : 0: 内容如下： 1.The history of the computerized database 2.SQL Data Statements--those used to create, manipulate, and retrieve data stored in your database example statements include select, update, insert, and delete 3.SQL Schema Statements--those used to create database objects, such as tables, indexes, and constraints 4.How data sets can interact with queries 5.The importance of subqueries 6.Data conversion and manipulation via SQL s built-in functions 7.How conditional logic can be used in Data Statements-read as follows : 1.The history of the computerized database 2.SQL Data Statements-- those used to create, manipulate, and retrieve data stored in your database example statements include select, update, insert, and delete 3.SQL Schema Statements-- those used to create database objects, such as tables, indexes, and constraints 4.How data sets can interact with queries 5.The importance of subqueries 6.Data conversion and manipulation via SQL s built-in functions can 7.How conditional logic be used in Data Statements
Update : 2024-05-19 Size : 601088 Publisher : 余辰
【GUI Develop】 RBFS_CODE DL : 1: RBFS算法（递归最佳优先搜索：A*家族）和LRTA*算法（联机局部搜索，又名实时学习A*搜索，同为A*家族）实现图的单源最短路径。其中RBFS和LRTA*算法均比狄杰算法效率高！ -RBFS algorithm (recursive best first search :* A family) and the LRTA* algorithm (online local search, also known as real-time learning A* search, with the A* family) plans to achieve a single source shortest path. Which RBFS and LRTA* Algorithm than Dilger efficient algorithm!
Update : 2024-05-19 Size : 19456 Publisher : 陈名
【AI-NN-PR】人工智能神经网络源程序 DL : 0: 对于学习神经网络控制的同志具有参考价值，共同分享-learning neural network control comrades reference value, shared
Update : 2024-05-19 Size : 2472960 Publisher : 张庆阳
【Algorithm】 weka-3-3-5 DL : 0: own Java code. WEKA 是一个机器学习运算法则，它是为解决真实世界中的数据问题。它用java写成并且几乎可以在任何平台上运行。运算法则能够被直接应用到数据集上或者从你自己的java 码中调用。-own Java code. WEKA is a machine learning algorithms, it is to solve the real-world data. Using java can be written in almost any platform. Algorithms can be directly applied to the data collected on or from your own java code call.
Update : 2024-05-19 Size : 4892672 Publisher :
【matlab】 1111EQ DL : 0: LMS自适应均衡仿真matlab例子特征值扩散度，步长参数的学习曲线仿真-LMS adaptive equalization Matlab simulation examples eigenvalue proliferation, a step learning curve parameters Simulation
Update : 2024-05-19 Size : 3072 Publisher :
【Books】 CSharpsharpness DL : 0: 南京邮电学院李建忠编写一本的很不错的C#学习书与大家一起分享-NJUPT Jianzhong prepared a very good learning C# book and share with everyone
Update : 2024-05-19 Size : 72704 Publisher : 朱竹
【AI-NN-PR】 bp2 DL : 0: 基于梯度下降的BP算法,可以调整学习率可动量因子.-based on the gradient descent algorithm BP, the learning rate can be adjusted momentum factor.
Update : 2024-05-19 Size : 3072 Publisher : 李四
【Other】 Learning_The_Bash_Shell_Third_Edition DL : 0: Learning the bash Shell, 3rd Edition 关于bash Shell介绍的很全面 -Learning the bash Shell, 3rd Edition on the bash Shell introduced by the very comprehensive
Update : 2024-05-19 Size : 718848 Publisher : 俞
【Windows Develop】 face-detect DL : 0: This method entails a machine learning approach for visual object detection, which is capable of processing images extremely rapidly and achieving high detection rates. -This method entails a machine learning app Roach for visual object detection, which is capable of processing images extremel y rapidly and achieving high detection rates.
Update : 2024-05-19 Size : 7168 Publisher : 肖雪
【Data structs】 GLVQBP DL : 0: 本算法采用LVQ竞争学习网络，本算法先用分类再用bp算法进行预测。-the algorithm used LVQ competitive learning networks, the algorithm using the classification algorithm reuse bp forecast.
Update : 2024-05-19 Size : 363520 Publisher : keyugang
【source in ebook】 visualbasic6.0 DL : 1: vb6.0 学习教程, vb6.0 学习教程-vb6.0 study guides, learning guide vb6.0
Update : 2024-05-19 Size : 9828352 Publisher : kitter
【AI-NN-PR】 c45Algorithm DL : 0: C4.5是决策树的经典算法 C4.5 归纳学习是完全自动的学习算法，所需要做的是选取有用的特征，构建实例数据库供它学习-C4.5 decision tree is the classic C4.5 inductive learning algorithm is completely automatic learning algorithm, what needs to be done is to select useful features, build databases for its examples of learning
Update : 2024-05-19 Size : 1024 Publisher : 唐宇
【File Format】 Machine_Learning_Tom_M.Michell DL : 0: 一些机器学习的文档.有贝叶斯,决策树,ga,ann,规则学习,增强学习等ppt介绍文档-some machine learning documents. A Bayesian, decision tree, ga, ann, rule learning, to enhance learning ppt documents introduced
Update : 2024-05-19 Size : 613376 Publisher : zj

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