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The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples. The returned model has the form 1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2) 2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2) 看不懂，據(jù)高手說，非常有用。
標(biāo)簽： identification neuro-fuzzy implemented analysis
上傳時(shí)間： 2014-01-12
上傳用戶：zgu489
This exercise is aimed at exploring how rate control and adaptation of carrier sense threshold can affect spatial reuse (and hence aggregate throughput) in a multi-hop network.
標(biāo)簽： adaptation exploring threshold exercise
上傳時(shí)間： 2016-05-07
上傳用戶：D&L37
Swarm是一個(gè)非常有用的仿真工具，這是Swarm的Java程序編寫教程，從最簡(jiǎn)單的程序開始一步一步教會(huì)讀者如何使用Swarm來編寫程序，最終依據(jù)所建立的數(shù)學(xué)模型實(shí)驗(yàn)Multi-agent的仿真
上傳時(shí)間： 2016-05-08
上傳用戶：ruan2570406
可拖動(dòng)按鈕，包括button,label,panel,picturebox等。
標(biāo)簽： 按鈕
上傳時(shí)間： 2016-05-29
上傳用戶：gtf1207
This zip file provides Getting Started quickly on the AT91RM9200 Evaluation Kit (AT91RM9200-EK) with Green Hills 3.6.1 Multi® 2000 Software Tool. Includes main.html file for help.
標(biāo)簽： 9200 Evaluation provides Getting
上傳時(shí)間： 2013-12-26
上傳用戶：cuibaigao
JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and --- subject to certain very reasonable constraints --- to redistribute. Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time / frequency analysis, including advanced wavelet algorithms developed by myself and collaborators.
標(biāo)簽： co-written functions the fifteen
上傳時(shí)間： 2014-01-26
上傳用戶：hjshhyy
一個(gè)iscsi實(shí)現(xiàn)源碼，值得參考。It is a high-performance, transport independent, multi-platform implementation of RFC3720 iSCSI.
上傳時(shí)間： 2016-06-30
上傳用戶：it男一枚
* acousticfeatures.m: Matlab script to generate training and testing files from event timeseries. * afm_mlpatterngen.m: Matlab script to extract feature information from acoustic event timeseries. * extractevents.m: Matlab script to extract event timeseries using the complete run timeseries and the ground truth/label information. * extractfeatures.m: Matlab script to extract feature information from all acoustic and seismic event timeseries for a given run and set of nodes. * sfm_mlpatterngen.m: Matlab script to extract feature information from esmic event timeseries. * ml_train1.m: Matlab script implementation of the Maximum Likelihood Training Module. ?ml_test1.m: Matlab script implementation of the Maximum Likelihood Testing Module. ?knn.m: Matlab script implementation of the k-Nearest Neighbor Classifier Module.
標(biāo)簽： acousticfeatures timeseries generate training
上傳時(shí)間： 2013-12-26
上傳用戶：牛布牛
Zigbee 精簡(jiǎn)版技術(shù)協(xié)議，英文原版的，很好，值得參考！ A Zigbee-subset/IEEE 802.15.4 Multi-platform Protocol Stack
上傳時(shí)間： 2013-12-09
上傳用戶：sqq
彈跳球遊戲，multi-threads控制每個(gè)球，碰到牆壁就會(huì)反彈
標(biāo)簽：
上傳時(shí)間： 2013-12-24
上傳用戶：onewq
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