OpenVPN is a robust and highly flexible tunneling application that uses all of the encryption, authentication, and certification features of the OpenSSL library to securely tunnel IP networks over a single TCP/UDP port.
標(biāo)簽： application encryption tunneling flexible
上傳時(shí)間： 2014-01-13
上傳用戶：hzy5825468
神經(jīng)網(wǎng)絡(luò)基本算法源程序，包含四個(gè)基本算法：BF,ART I,RBF,自組織算法，有詳細(xì)的幫助文件。
標(biāo)簽： 神經(jīng)網(wǎng)絡(luò) 源程序 算法
上傳時(shí)間： 2015-03-17
上傳用戶：天誠(chéng)24
神經(jīng)網(wǎng)絡(luò)算法源程序，如SOM、HOPFIELD、CPN、BPN、BOLTZMAN、ART、ADALINE，同時(shí)提供針對(duì)不同算法的演示源程序。
標(biāo)簽： 神經(jīng)網(wǎng)絡(luò)算法 源程序
上傳時(shí)間： 2015-03-25
上傳用戶：zjf3110
自適應(yīng)(Adaptive)神經(jīng)網(wǎng)絡(luò)源程序 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables
標(biāo)簽： collection implement Adaptive adaptive
上傳時(shí)間： 2015-04-09
上傳用戶：ywqaxiwang
The purpose of this computer program is to allow the user to construct, train and test differenttypes of artificial neural networks. By implementing the concepts of templates, inheritance andderived classes from C++ object oriented programming, the necessity for declaring multiple largestructures and duplicate attributes is reduced. Utilizing dynamic binding and memory allocationafforded by C++, the user can choose to develop four separate types of neural networks:
標(biāo)簽： differenttype construct computer purpose
上傳時(shí)間： 2013-12-06
上傳用戶：13517191407
亞馬遜網(wǎng)上書店、巴諾書店最佳暢銷書《最后期限》 湯姆·迪馬可（Tom DeMarco）是大西洋系統(tǒng)行會(huì)（www.atlsysguild.com）的負(fù)責(zé)人之一，同時(shí)他也是多塞特家族出版社的三本暢銷書（《人件》（將于今年4月在清華大學(xué)出版社引進(jìn)出版），與蒂姆·利斯特合著的《軟件藝術(shù)的狀態(tài)》（Software State-of-the-Art），以及《為何軟件開銷那么大？》（Why Does Software Cost So Much?）和一套基礎(chǔ)培訓(xùn)錄像（與蒂姆·利斯特合作的《高產(chǎn)團(tuán)隊(duì)》）的作者。
標(biāo)簽： atlsysguild DeMarco Tom www
上傳時(shí)間： 2013-12-24
上傳用戶：ZJX5201314
神經(jīng)網(wǎng)絡(luò)模式識(shí)別及其實(shí)現(xiàn)，第10章 內(nèi)含：ART 和VQ 算法。 終于上傳完，本來想一次性發(fā)上來的，但結(jié)果失敗了，只好一個(gè)一個(gè)發(fā)。
標(biāo)簽： 神經(jīng)網(wǎng)絡(luò) 模式識(shí)別
上傳時(shí)間： 2013-12-23
上傳用戶：hoperingcong
Kismet is an 802.11b network sniffer and network dissector. It is capable of sniffing using most wireless cards, automatic network IP block detection via UDP, ARP, and DHCP packets, Cisco equipment lists via Cisco Discovery Protocol, weak cryptographic packet logging, and Ethereal and tcpdump compatible packet dump files. It also includes the ability to plot detected networks and estimated network ranges on downloaded maps or user supplied image files. Kismet是一個(gè)針對(duì)IEEE802.11b無線局域網(wǎng)的嗅探和包分析器，支持大多數(shù)無線網(wǎng)卡，支持自動(dòng)檢測(cè)UDP、ARP和DHCP的數(shù)據(jù)包，支持通過CDP協(xié)議檢測(cè)思科網(wǎng)絡(luò)設(shè)備，支持加密數(shù)據(jù)包記錄，采用與Ethereal和Tcpdump兼容的的數(shù)據(jù)包記錄文件，支持通過用戶提供地圖來檢測(cè)和評(píng)估無線網(wǎng)絡(luò)范圍。
標(biāo)簽： network dissector sniffing capable
上傳時(shí)間： 2014-11-26
上傳用戶：wweqas
lwIP is a small independent implementation of the TCP/IP protocol suite that has been developed by Adam Dunkels at the Computer and Networks Architectures (CNA) lab at the Swedish Institute of Computer Science (SICS).
標(biāo)簽： implementation independent developed protocol
上傳時(shí)間： 2015-05-02
上傳用戶：windwolf2000
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables is included
標(biāo)簽： Neural collection implement Adaptive
上傳時(shí)間： 2013-12-23
上傳用戶：teddysha
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