搜索结果
找到约 120 项符合
TRAINING 的查询结果
按分类筛选
- 全部分类
- 人工智能/神经网络 (26)
- 其他 (11)
- 其他书籍 (10)
- matlab例程 (8)
- 教育系统应用 (5)
- 数值算法/人工智能 (4)
- 嵌入式/单片机编程 (3)
- 文章/文档 (3)
- 其他数据库 (3)
- 文件格式 (3)
- VC书籍 (3)
- Java编程 (3)
- 其他行业 (3)
- 书籍 (3)
- 软件设计/软件工程 (2)
- 单片机开发 (2)
- VHDL/FPGA/Verilog (2)
- *行业应用 (2)
- 技术资料 (2)
- 技术教程 (1)
- 教程资料 (1)
- 模拟电子 (1)
- 手机短信编程 (1)
- 嵌入式Linux (1)
- Delphi控件源码 (1)
- 生物技术 (1)
- 系统设计方案 (1)
- 并行计算 (1)
- 通讯编程文档 (1)
- Linux/Unix编程 (1)
- MTK (1)
- 技术管理 (1)
- Symbian (1)
- 行业发展研究 (1)
- 网络 (1)
- 电子书籍 (1)
- 数学计算 (1)
- 通讯/手机编程 (1)
- JavaScript (1)
- 论文 (1)
- VIP专区 (1)
人工智能/神经网络 This program demonstrates some function approximation capabilities of a Radial Basis Function Networ
This program demonstrates some function approximation capabilities of a Radial Basis Function Network.
The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for ...
matlab例程 Blind Equalizer 的演算法主要是利用CMA及 LMS 的配合
Blind Equalizer 的演算法主要是利用CMA及 LMS 的配合，当CMA将EYE打开，使讯号趋近于正确值，就切换到LMS，利用Slicer的输出当作training sequence来调整Equalizer的系数，而Carrier Recovery 的部份，则是将phase error track出来
人工智能/神经网络 C＋＋编写的机器学习算法 Lemga is a C++ package which consists of classes for several learning models and gener
C＋＋编写的机器学习算法
Lemga is a C++ package which consists of classes for several learning models and generic algorithms for optimizing (training) the models
其他数据库 一些数据库的实例。共12章。如第八章： 第8章数据库环境的建立 1. 用MISDBA用户登录MISDB数据库。 2. 在ISQL中
一些数据库的实例。共12章。如第八章：
第8章数据库环境的建立
1. 用MISDBA用户登录MISDB数据库。
2. 在ISQL中，输入第8章提供的SQL语句；或者根据表8-1至表8-4在SQL Explorer中自行创建数据表。
3. 根据表8-5至表8-7设置初始数据，另外需要在PERSON数据表中设置一个具有培训管理系统管理权限的用户（ID=’PXC’，PASSWD=’ ...
Delphi控件源码 pop3代理服务器源代码One of the most powerful features of Pop3 Agent is a naive Bayes filter, that is capab
pop3代理服务器源代码One of the most powerful features of Pop3 Agent is a naive Bayes filter,
that is capable of recognizing spam e-mails after appropriate training.
Pop3 Agent uses an embedded Firebird database server. Of course, you can
configure Pop3 Agent to work with an existing server if the ...
人工智能/神经网络 This code in this directory implements the binary hopfield network. Source code may be found in HOP
This code in this directory implements the binary hopfield network.
Source code may be found in HOPNET.CPP. A sample training file is
H7x8N4.trn. Sample test pattern files are: H7x8D4.TST, H5x8D7.TST,
H5x8D7.TST and H5x8D9.TST, Output of the program goes to both the
screen and a file, ARCHIVE.LST. ...
其他书籍 palm编成,这种书很少,有兴趣看看 Title: Palm Programming: The Developer s Guide URL: http://safari.oreilly.com/J
palm编成,这种书很少,有兴趣看看
Title: Palm Programming: The Developer s Guide
URL: http://safari.oreilly.com/JVXSL.asp?x=1&mode=section&sortKey=rank&sortOrder=desc&view=book&xmlid=1-56592-525-4&open=false&srchText=palm+programming&code=&h=&m=&l=1&catid=&s=1&b=1&f=1&t=1&c=1&u=1&page=0
ISBN: 1-56592-5 ...
文件格式 We propose a novel approach for head tracking, which combines particle filters with Isomap. The part
We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most weighted particle ap ...
人工智能/神经网络 Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right
Hidden_Markov_model_for_automatic_speech_recognition
This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the so ...
人工智能/神经网络 Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifie ...