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.
CGAL is a collaborative effort of several sites in Europe and Israel. The goal is to make the most important of the solutions and methods developed in computational geometry available to users in industry and academia in a C++ library.
The purpose of this computer program is to allow the user to construct, train and test differenttypes of artificial neural networks. By implementing the concepts of templates, inheritance andderived classes from C++ object oriented programming, the necessity for declaring multiple largestructures and duplicate attributes is reduced. Utilizing dynamic binding and memory allocationafforded by C++, the user can choose to develop four separate types of neural networks:
A C++ framework for creating Linux and Windows communications applications that contain Dialogic/Intel NetStructure products. Includes media and network classes (analog, digital, SIP, H323), multithreaded event handling, distributed app support.
隨機性發生器、冒泡分類和混洗一組12張牌的演示程序。
Demonstrates the use of a randomizer, bubble-sort and an array to "shuffle" a deck of 12 cards. I put it here for those of you who are trying to figure out how to shuffle with a randomizer without having the same card appear two-or-more times.
