Although most of the health problems related to fast food aren t felt until middle age -- obesity and diabetes are at an all-time high --- the damage starts before children enter kindergarten.
標(biāo)簽： Although problems obesity related
上傳時(shí)間： 2014-02-09
上傳用戶：時(shí)代電子小智
學(xué)習(xí)mp3格式的好源碼A DSP-based decompressor unit for high-fidelity MPEG-Audio over TCP/IP networks
標(biāo)簽： high-fidelity decompressor MPEG-Audio DSP-based
上傳時(shí)間： 2016-04-03
上傳用戶：gaome
Fuzzy logic based handoff in wireless networks.rar
標(biāo)簽： wireless networks handoff Fuzzy
上傳時(shí)間： 2014-01-16
上傳用戶：liansi
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標(biāo)簽： reversible algorithm the nstrates
上傳時(shí)間： 2014-01-08
上傳用戶：cuibaigao
This a handbook for logging-related information and techniques needed for developing applications in the Java language
標(biāo)簽： logging-related applications information developing
上傳時(shí)間： 2016-04-20
上傳用戶：葉山豪
2005 Wiley)Topology Control in Wireless Ad-Hoc and Sensor Networks.pdf
標(biāo)簽： Topology Networks Wireless Control
上傳時(shí)間： 2016-04-27
上傳用戶：ghostparker
The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Process : finite horizon, value iteration, policy iteration, linear programming algorithms with some variants. The functions (m-functions) were developped with MATLAB v6.0 (one of the functions requires the Mathworks Optimization Toolbox) by the decision team of the Biometry and Artificial Intelligence Unit of INRA Toulouse (France). The version 2.0 (February 2005) handles sparse matrices and contains an example
標(biāo)簽： discrete-time resolution functions Decision
上傳時(shí)間： 2014-01-01
上傳用戶：xuanjie
這程序是《神經(jīng)網(wǎng)絡(luò)模式識(shí)別及其實(shí)現(xiàn)》（Pattern Recognition with Neural Networks in C++)美Abhijit S. Pandya等著電子工業(yè)出版社1999年6月 書號(hào)ISBN 7-5053-5088-9
標(biāo)簽： S. Recognition Networks Pattern
上傳時(shí)間： 2014-01-01
上傳用戶：Miyuki
Neural Networks-ART Source Code
標(biāo)簽： Networks-ART Neural Source Code
上傳時(shí)間： 2016-05-08
上傳用戶：GavinNeko
TMS320C6x外設(shè)支持庫參考（C62x Software Related）
標(biāo)簽： Software Related 320C C62x
上傳時(shí)間： 2016-05-09
上傳用戶：1159797854
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