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. 使用神经网络集成方法诊断糖尿病,肝炎,乳腺癌症的案例研究.
标签： comprehensibl Description Rule-PANE accurate
上传时间： 2013-11-30
上传用户：wcl168881111111
Learning GNU Emacs 3ed. Emacs和Vi是世界上最好用的编辑器，这本书是Emacs的入门教材。
上传时间： 2014-11-26
上传用户：赵云兴
Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg
标签： OPTIMIZATION ALGORITHMS LEARNING Programs
上传时间： 2015-04-19
上传用户：
这是一个matlab实现第归神经网络的例子, 实现的第归神经网络是 : Real Time Recurrent Learning
标签： Recurrent Learning matlab Real
上传时间： 2015-04-22
上传用户：q123321
LVQ学习矢量化算法源程序 This directory contains code implementing the Learning vector quantization network. Source code may be found in LVQ.CPP. Sample training data is found in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The LVQ program accepts input consisting of vectors and calculates the LVQ network weights. If a test set is specified, the winning neuron (class) for each neuron is identified and the Euclidean distance between the pattern and each neuron is reported. Output is directed to the screen.
标签： implementing quantization directory Learning
上传时间： 2015-05-02
上传用户：hewenzhi
Learning the bash Shell, 3rd Edition 关于bash Shell介绍的很全面
标签： Shell bash Learning Edition
上传时间： 2013-12-15
上传用户：koulian
How to Think Like a Computer Scientist Learning with Python 学习linux下Python脚本的必备书籍
标签： Python Scientist Computer Learning
上传时间： 2014-10-29
上传用户：heart520beat
learning the kalman filter (Matlab Code)
标签： learning kalman filter Matlab
上传时间： 2015-06-07
上传用户：wab1981
Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks while the third can be generalized to multi-layer perceptrons.
标签： Single-layer algorithms best-known networks
上传时间： 2015-06-17
上传用户：赵云兴
Learning Cpp as a new language.rar
上传时间： 2015-06-22
上传用户：playboys0
