NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than standard C4.5 decision trees, through regarding a neural network ensemble as a pre-process of C4.5 decision tree.
標(biāo)簽： decision 4.5 accurate generate
上傳時間： 2013-12-10
上傳用戶：anng
Simulation of Direct Sequence Spread Spectrum Communication System Based on MATLAB
標(biāo)簽： Communication Simulation Sequence Spectrum
上傳時間： 2014-01-21
上傳用戶：釣鰲牧馬
A program based in chip TIRIS programmed in assembler. Useful for prototype design of a RFID reader.
標(biāo)簽： programmed assembler prototype program
上傳時間： 2013-12-24
上傳用戶：youke111
W ireless rem ote control system for tower crane based on M SP430 and nRF905：介紹了一種基于無線遙測技術(shù)的塔吊遙控系統(tǒng)，該系統(tǒng)以MSP430超低功耗l6位微控制器和無 線收發(fā)芯片nRF905為核心。系統(tǒng)采用軟件編碼和硬件譯碼的方式提高了系統(tǒng)的抗干擾能力，系統(tǒng)發(fā) 射器采用定時掃描、接收器采用無記憶輸出控制方式，提高了系統(tǒng)可靠性，該系統(tǒng)可廣泛應(yīng)用于塔吊等 一般的工業(yè)遙控系統(tǒng)中。
標(biāo)簽： ireless control system based
上傳時間： 2013-12-15
上傳用戶：zhengzg
模式識別中多類分類問題決策樹間接Induction of Decision Trees
標(biāo)簽： Induction Decision Trees of
上傳時間： 2013-12-09
上傳用戶：cooran
Multiscales Edges Detection Based On Bubble Wavelet
標(biāo)簽： Multiscales Detection Wavelet Bubble
上傳時間： 2014-01-07
上傳用戶：jqy_china
Many of the pattern fi nding algorithms such as decision tree, classifi cation rules and clustering techniques that are frequently used in data mining have been developed in machine learning research community. Frequent pattern and association rule mining is one of the few excep- tions to this tradition. The introduction of this technique boosted data mining research and its impact is tremendous. The algorithm is quite simple and easy to implement. Experimenting with Apriori-like algorithm is the fi rst thing that data miners try to do.
標(biāo)簽： 64257 algorithms decision pattern
上傳時間： 2014-01-12
上傳用戶：wangdean1101
This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.
標(biāo)簽： performance likelihood decision feedback
上傳時間： 2013-11-25
上傳用戶：1079836864
led based on MSP430,ok ok ok ok
上傳時間： 2016-11-25
上傳用戶：時代電子小智
％For the following 2-class problem determine the decision boundaries ％obtained by LMS and perceptron learning laws.
標(biāo)簽： boundaries the following determine
上傳時間： 2016-11-26
上傳用戶：guanliya
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