Signals_and_Systems_with_MATLAB_Applications is nice to learning Signals andSystems with MATLA book
標簽： Signals_and_Systems_with_MATLAB_A pplications andSystems learning
上傳時間： 2013-12-21
上傳用戶：ommshaggar
javaME useful code with the J2ME helpful learning cla
標簽： learning helpful javaME useful
上傳時間： 2013-12-08
上傳用戶：lijianyu172
《Learning OpenCV---Computer vision with the OpenCV library》Gary Bradski & Adrian Kaebler最新權威OpenCV專著，OpenCV必備寶典
標簽： OpenCV Learning Computer Bradski
上傳時間： 2017-01-01
上傳用戶：dancnc
ANN with BP learning
上傳時間： 2014-01-01
上傳用戶：czl10052678
A good document in french for learning to program with c in a short time.It offers the basic fonctions, methods for a better use of this language.
標簽： document learning fonctio program
上傳時間： 2017-04-21
上傳用戶：xauthu
After learning to work with images it is important to learn some of the accessory functions OpenCV has to offer. This tutorial will discuss a simple image correlation example
標簽： accessory functions important learning
上傳時間： 2013-12-19
上傳用戶：妄想演繹師
The BYY annealing learning algorithm for Gaussian mixture with automated model selection
標簽： annealing algorithm automated selection
上傳時間： 2014-09-05
上傳用戶：小碼農lz
Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dictions is daunting We discuss drawbacks with previous approaches to dealing with this problem
標簽： polynomial regression weighted instance
上傳時間： 2013-11-28
上傳用戶：sunjet
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
In this paper, we describe the development of a mobile butterfly-watching learning (BWL) system to realize outdoor independent learning for mobile learners. The mobile butterfly-watching learning system was designed in a wireless mobile ad-hoc learning environment. This is first result to provide a cognitive tool with supporting the independent learning by applying PDA with wireless communication technology to extend learning outside of the classroom. Independent learning consists of self-selection, self-determination, self-modification, and self-checking.
標簽： butterfly-watching development describe learning
上傳時間： 2014-11-26
上傳用戶：waizhang
