自適應(Adaptive)神經網絡源程序 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
標簽： collection implement Adaptive adaptive
上傳時間： 2015-04-09
上傳用戶：ywqaxiwang
This a project using RBF Neural NETWORK. developed using matlab 7. just load in matlab and can run it.
標簽： matlab using developed project
上傳時間： 2013-12-09
上傳用戶：yuzsu
ACE Programmer s Guide, The: Practical Design Patterns for NETWORK and Systems Programming
標簽： Programming Programmer Practical Patterns
上傳時間： 2015-04-13
上傳用戶：ZJX5201314
This program queries the NETWORK and shows the Domains/Servers/Workstations structure. It also shows the users of each Server or Workstation and can send messages to the selected PC. This programs works only on a Windows NT 4.0 Machine! 查詢網絡,顯示 域/服務器/工作站的結構,它也顯示用戶,并將信息發送到指定的PC,只能在NT 4上工作
標簽： shows Workstations the structure
上傳時間： 2015-04-13
上傳用戶：sclyutian
* A ncurses user interface. * NETWORK statistics to view the amount of packets and data in many different protocols, interfaces and hosts. * View what active TCP connections are on the NETWORK. * View UDP packets. * View and log ICMP packets. * View and log the 48bit arp protocol. And also view what make of NETWORK card is in each machine * Multithreaded so that the user interface does not interfere with any of the packet captureing methods. * View and log the following user space protocols FTP, POP3, HTTP
標簽： statistics interface ncurses NETWORK
上傳時間： 2015-04-20
上傳用戶：bjgaofei
誤差反向傳播網絡(Back propagation NETWORK,簡稱BP網絡)是神經網絡中最活躍的方法，且絕大多數采用了三層結構(輸入層、一個隱含層和輸出層).BP網絡是一種非線性映射人工神經網絡.本程序用vb實現的bp算法
標簽： propagation NETWORK Back 誤差
上傳時間： 2015-04-22
上傳用戶：qiaoyue
一個老外寫的CMAC Neural NETWORK源代碼和說明
上傳時間： 2015-04-26
上傳用戶：13215175592
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是一個針對IEEE802.11b無線局域網的嗅探和包分析器，支持大多數無線網卡，支持自動檢測UDP、ARP和DHCP的數據包，支持通過CDP協議檢測思科網絡設備，支持加密數據包記錄，采用與Ethereal和Tcpdump兼容的的數據包記錄文件，支持通過用戶提供地圖來檢測和評估無線網絡范圍。
標簽： NETWORK dissector sniffing capable
上傳時間： 2014-11-26
上傳用戶：wweqas
LVQ學習矢量化算法源程序 This directory contains code implementing the Learning vector quantization NETWORK. Source code may be found in LVQ.CPP. Sample training data is found in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The LVQ program accepts input consisting of vectors and calculates the LVQ NETWORK weights. If a test set is specified, the winning neuron (class) for each neuron is identified and the Euclidean distance between the pattern and each neuron is reported. Output is directed to the screen.
標簽： implementing quantization directory Learning
上傳時間： 2015-05-02
上傳用戶：hewenzhi
本程序用資源分配網(Resource_Allocation NETWORK,簡稱RAN)實現了Hermit多項式在線學習問題。訓練樣本產生方式如下，樣本數400，每個樣本輸入Xi在區間[-4,4]內隨機產生（均勻分布），相關樣本輸出為F(Xi) = 1.1(1-Xi + Xi2)exp(-Xi2/2),測試樣本輸入在[-4，+4]內以0.04為間隔等距產生，共201個樣本。訓練結束后的隱節點為：11個，訓練結束后的平均誤差可達：0.03
標簽： Resource_Allocation NETWORK Hermit RAN
上傳時間： 2014-01-14
上傳用戶：pompey
