IEEE 802.11j-2004 IEEE Standard for Information technology—Telecommunications and information exchange between systems--Local and metropolitan area networkS—Specific requirements—Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications—Amendment 7: 4.9 GHz–5 GHz Operation in Japan
標簽： Telecommunications IEEE Information information
上傳時間： 2014-01-17
上傳用戶：asasasas
RECOMMENDATION ITU-R M.1653*,** Operational and deployment requirements for wireless access systems including radio local area networkS in the mobile service to facilitate sharing between these systems and systems in the Earth exploration-satellite service (active) and the space research service (active) in the band 5 470-5 570 MHz within the 5 460 5 725 MHz range
標簽： RECOMMENDATION requirements Operational deployment
上傳時間： 2016-10-21
上傳用戶：miaochun888
另一本介紹貝葉斯網絡的經典教材，可以與Learning Bayesian networkS配合使用，相得益彰。
上傳時間： 2014-01-05
上傳用戶：電子世界
* Lightweight backpropagation neural network. * This a lightweight library implementating a neural network for use * in C and C++ programs. It is intended for use in applications that * just happen to need a simply neural network and do not want to use * needlessly complex neural network libraries. It features multilayer * feedforward perceptron neural networkS, sigmoidal activation function * with bias, backpropagation training with settable learning rate and * momentum, and backpropagation training in batches.
標簽： backpropagation implementating Lightweight lightweight
上傳時間： 2013-12-27
上傳用戶：清風冷雨
％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％ ％ If desired, it is possible to use regularization by ％ weight decay. Also pruned (ie. not fully connected) networkS can ％ be trained. ％ ％ Given a set of corresponding input-output pairs and an initial ％ network, ％ [W1,W2,critvec,iteration,lambda]=marq(NetDef,W1,W2,PHI,Y,trparms) ％ trains the network with the Levenberg-Marquardt method. ％ ％ The activation functions can be either linear or tanh. The ％ network architecture is defined by the matrix NetDef which ％ has two rows. The first row specifies the hidden layer and the ％ second row specifies the output layer.
標簽： Levenberg-Marquardt desired network neural
上傳時間： 2016-12-27
上傳用戶：jcljkh
This function applies the Optimal Brain Surgeon (OBS) strategy for ％ pruning neural network models of dynamic systems. That is networkS ％ trained by NNARX, NNOE, NNARMAX1, NNARMAX2, or their recursive ％ counterparts.
標簽： function strategy Optimal Surgeon
上傳時間： 2013-12-19
上傳用戶：ma1301115706
Train a two layer neural network with a recursive prediction error ％ algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully ％ connected) networkS can be trained. ％ ％ The activation functions can either be linear or tanh. The network ％ architecture is defined by the matrix NetDef , which has of two ％ rows. The first row specifies the hidden layer while the second ％ specifies the output layer.
標簽： recursive prediction algorithm Gauss-Ne
上傳時間： 2016-12-27
上傳用戶：ljt101007
A MATLAB GUI platform for realizing the radiation pattern of narrowband beamformer with random array geometry. User can specify the array geometry, directions of incoming signals, noise power, and the type of beamformer. Useful for gaining insight about collaborative beamforming in sensor networkS and random arrays. You need both randomarray.fig and randomarray.m to work.
標簽： beamformer narrowband realizing radiation
上傳時間： 2014-01-06
上傳用戶：qb1993225
MATLAB implementation of time series prediction Based on the VQTAM method described in the following papers: G. A. Barreto & A. F. R. Araujo (2004) "Identification and Control of Dynamical Systems Using the Self-Organizing Map" IEEE Transactions on Neural networkS, vol. 15, no. 5.
標簽： implementation prediction described following
上傳時間： 2013-12-22
上傳用戶：windwolf2000
MPEG-4 標準文檔 access to visual objects in natural and synthetic moving pictures and associated natural or synthetic sound for various applications such as digital storage media, internet, various forms of wired or wireless communication etc. The use of ISO/IEC 14496 means that motion video can be manipulated as a form of computer data and can be stored on various storage media, transmitted and received over existing and future networkS and distributed on existing and future broadcast channels.
標簽： associated and synthetic pictures
上傳時間： 2017-04-15
上傳用戶：TRIFCT
