Description: C4.5Rule-PANE is a rule learning method which could generate Accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42. 使用神經網絡集成方法診斷糖尿病,肝炎,乳腺癌癥的案例研究.
標簽： comprehensibl Description Rule-PANE Accurate
上傳時間： 2013-11-30
上傳用戶：wcl168881111111
The information in this publication is believed to be Accurate as of its publication date. Such information is subject to change without notice and The ATM Forum is not responsible for any errors. The ATM Forum does not assume any responsibility to update or correct any information in this publication. Notwithstanding anything to the contrary, neither The ATM Forum nor the publisher make any representation or warranty, expressed or implied, concerning the completeness, accuracy, or applicability of any information contained in this publication. No liability of any kind shall be assumed by The ATM Forum or the publisher as a result of reliance upon any information contained in this publication.
標簽： publication information believed Accurate
上傳時間： 2015-09-16
上傳用戶：1109003457
Rayleigh 信道的matlab 仿真程序 及論文"A Fast and Accurate Rayleigh Fading Simulator"
標簽： Rayleigh Simulator Accurate Fading
上傳時間： 2014-02-10
上傳用戶：dapangxie
This book is the most Accurate and up-to-date source of information the STL currently available. ... It has an approach and appeal of its own: it explains techniques for building data structures and algorithms on top of the STL, and in this way appreciates the STL for what it is - a framework. Angelika Langer, Independent Consultant and C++ Report Columnist "A superbly authored treatment of the STL......an excellent book which belongs in any serious C++ developer s library." Jim Armstrong, President 2112 F/X, Texas. \n The C++ Standard Template Library (STL) represents a breakthrough in C++ programming techniques. With it, software developers can achieve vast improvements in the reliability of their software, and increase their own productivity.
標簽： information up-to-date available currently
上傳時間： 2015-10-31
上傳用戶：CHINA526
The need for Accurate monitoring and analysis of sequential data arises in many scientic, industrial and nancial problems. Although the Kalman lter is effective in the linear-Gaussian case, new methods of dealing with sequential data are required with non-standard models. Recently, there has been renewed interest in simulation-based techniques. The basic idea behind these techniques is that the current state of knowledge is encapsulated in a representative sample from the appropriate posterior distribution. As time goes on, the sample evolves and adapts recursively in accordance with newly acquired data. We give a critical review of recent developments, by reference to oil well monitoring, ion channel monitoring and tracking problems, and propose some alternative algorithms that avoid the weaknesses of the current methods.
標簽： monitoring sequential industria Accurate
上傳時間： 2013-12-17
上傳用戶：familiarsmile
Use A/D converter in dspic sleep mode for Accurate A/D conversion.
標簽： conversion converter Accurate dspic
上傳時間： 2014-01-10
上傳用戶：sevenbestfei
Qpsk signal Processing Code The DSP code should be efficient and Accurate to properly demodulate the incoming signal. The DSP can be coded strictly in “C” or C-language can be intermingled with assembly code.include Real Time Digital Signal Processor Code – Main.c file BER Test Code
標簽： Processing demodulate efficient Accurate
上傳時間： 2014-08-10
上傳用戶：dancnc
The design of control systems involving piezoelectric actuators and sensors requires an Accurate knowledge of the transfer functions between the inputs and the outputs of the system.
標簽： piezoelectric actuators involving Accurate
上傳時間： 2016-05-25
上傳用戶：小寶愛考拉
Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen
標簽： autocorrelation parametric estimates Accurate
上傳時間： 2013-12-29
上傳用戶：3到15
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.
標簽： decision 4.5 Accurate generate
上傳時間： 2013-12-10
上傳用戶：anng
