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关于网络游戏的服务器端和客户端的程序,程序比较简单,是我看书学的,练习作品,类似于五子棋的小游戏-game on the network server and the client's procedure is relatively simple, I read the study and practice works, similar to 331 small game
Update : 2024-05-20 Size : 7168 Publisher : 刘刘

DL : 1
是MATLAB的RBF神经网络建模程序,比较有参考价值阿,需要的就下吧-MATLAB is the RBF neural network modeling procedures, more A reference value, we need it on the next
Update : 2024-05-20 Size : 2048 Publisher : wlr

计算机网络,按照网络长层自顶向下的顺序来描述网络.是国外的一本优秀教材-computer networks, according to network-layer top-down order to describe the network. Yes abroad an outstanding teaching
Update : 2024-05-20 Size : 2446336 Publisher : xiangzi

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可以通过在文本框输入IP地址,进行获取本地或者同网段机器的MAC地址-through in the text box enter IP addresses, access to local or network of machines with the MAC address
Update : 2024-05-20 Size : 171008 Publisher : 张林

unix网络编程,包括第一卷跟第二卷,我是从别的网站上下载下来的,现传上来-unix network programming, including the first volume with the second volume, I was from other download sites, are Chuan-up
Update : 2024-05-20 Size : 43377664 Publisher : tch

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对具有随机噪声的二阶系统的模型辨识,进行标幺化以后系统的参考模型差分方程为: y(k)=a1*y(k-1)+a2*y(k-2)+b*u(k-1)+s(k) 式中,a1=0.3366,a2=0.6634,b=0.68,s(k)为随机噪声。由于神经网络的输出最大为1,所以,被辨识的系统应先标幺化,这里标幺化系数为5。采用正向建模(并联辨识)结构,神经网络选用3-9-9-1型,即输入层i,隐层j包括2级,输出层k的节点个数分别为3、9、9、1个;由于神经网络的最大输出为1,因此在辨识前应对原系统参考模型标么化处理,辨识结束后再乘以标么化系数才是被辨识系统的辨识结果。-of random noise with the second-order system model, per-unit system after the reference model differential equation : y (k) = y* a1 (k-1) a2* y (k-2) b* u (k-1) s (k)- style, = 0.3366 a1, a2 = 0.6634, b = 0.68, s (k) as random noise. Because the neural network for a maximum output, therefore, the identification system should be per-unit, per-unit here coefficient of 5. Forward modeling (Parallel identification) structure, neural network-based selection 3-9-9-1, i input layer, hidden layer, including two j, k output layer to the number of nodes 3,9,9,1; The neural network the biggest losers up to one, in the original deal before Identification System Reference Model S Mody treatment, then multiplied by the end of Identification Standard Mody coefficient was recognition system is the ide
Update : 2024-05-20 Size : 874496 Publisher : 孙荣超

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利用MATLAB对神经网络进行编程,用newff()创建两层前向网络。网络输入范围[-1 1],第一层有10个tansig神经元-using MATLAB right neural network programming with newff () to the creation of a two-tier network. Network input range [-1 1], the first layer 10 tansig neurons
Update : 2024-05-20 Size : 5120 Publisher : 龙海侠

请让我成为会员,上串的是我编写的一个诊断专家系统的神经网络部分的代码。-let me become a member, on the string of my preparation of a diagnostic expert system the neural network part of the code.
Update : 2024-05-20 Size : 2048 Publisher : cdg

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lvq神经网络 的编程 希望大家能用的上-lvq neural network programming hope everyone can be on the
Update : 2024-05-20 Size : 1024 Publisher : zn

主动式网络监控程序,在混杂模式下获取网络包并分析,从而监控财网络情况。-active network monitoring procedures, in a mixed mode network access and packet analysis, monitoring of the financial network.
Update : 2024-05-20 Size : 217088 Publisher : liuben

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人工免疫网络,实现分类,聚类,函数寻优等功能,采用matlab编写.-artificial immune network, classification, clustering, search function Excellence function, prepared using Matlab.
Update : 2024-05-20 Size : 683008 Publisher : hu min

人工神经网络网络设计实例,我运行过结果正确。可以-The artificial nerve network network design example, I move the result am correct. May have a try
Update : 2024-05-20 Size : 83968 Publisher : 吴光超

人工神经网络\神经网络的程序和训练数据 解压缩后可以运行的-ANN \ neural network training procedures and decompress data after the run
Update : 2024-05-20 Size : 456704 Publisher : 吴光超

人工神经网络的工具想函数一览表,可以查询很方便的-artificial neural network tool to the list of functions that can be very convenient inquiry
Update : 2024-05-20 Size : 60416 Publisher : 吴光超

人工智能实验§贝叶斯网络的因果推理关系§ 熟悉掌握Bayes定理,学习贝叶斯网络的因果推理-artificial intelligence experiments Bayesian network causal reasoning relations mastery Bayes Theorem, learning Bayesian network causal reasoning
Update : 2024-05-20 Size : 104448 Publisher : 楚随风

使用JBuilder 9.0利用Java来编写一个实现具备数据包统计和分析功能的网络监听程序。由于核心Java API不能访问底层的网络数据,因此在使用Java编写网络监听程序时就必须借助一些工具。在本程序中借助Wincap和Jpcap这两个工具来对网络底层进行访问,帮助实现网络监听程序。-use JBuilder 9.0 Java prepared to achieve with a packet of statistics and analysis capabilities of network monitoring procedures. As the core Java API not have access to the underlying data network, the use of Java in the preparation of procedures for monitoring network must use some tools. In this process and help Wincap Jpcap these two tools to the bottom of the network for a visit to help achieve network monitoring procedures.
Update : 2024-05-20 Size : 1997824 Publisher : blickwinkel

Martin T.Hagan等著,戴葵等译,神经网络设计,机械工业出版社,一书的所有例程-Martin T. Hagan and others, such as translation Wenhui, neural network design, mechanical industrial Press, a book of all the routines
Update : 2024-05-20 Size : 566272 Publisher : xj

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bp神经网络,反向传播神经网络!感觉还不错的-bp neural networks, back-propagation neural network! Feeling pretty good
Update : 2024-05-20 Size : 308224 Publisher : 萧逸

基于GMM的概率神经网络PNN具有良好的泛化能力,快速的学习能力,易于在线更新,并具有统计学的贝叶斯估计理论基础,已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点,还具有许多GMM没有的优点,如强鲁棒性,需要更少的训练语料,可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN good generalization ability, the ability to learn fast, easy online updates, and with the Bayesian statistical theory based on estimates, and has become a solution as speaker recognition, text recognition, medical image recognition, satellite images and other real recognition when difficulties classification of very effective tool. But GMM PNN is not only the most advantages, but also has many advantages GMM not as strong robustness, require less training corpus, and other networks to other theories, such as seamless integration.
Update : 2024-05-20 Size : 7168 Publisher : 姜正茂

这是一个学校网络信息查询系统,主要是数据库的编程,很适合初中级的数据库学习者,是《Delphi数据库开发技术与工程实践》上的示例程序。-This is a network of schools for the information system is essentially a database program, which is perfect for middle-class database learners, "Delphi database development technology and engineering practice" on the sample program.
Update : 2024-05-20 Size : 581632 Publisher : tao520084
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