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The Specificity of Neural Networks in Extracting Rules from Data
The paper provides a survey of methods for logical rules extraction from data, and draws attention to the specificity of rules extraction by means of artificial neural networks. The importance of ...
IN - Informatika
- 2006 •
- D
Rok uplatnění
D - Stať ve sborníku
Symbolic Rule Extraction using Artificial Neural Networks
The article describes a method for extracting decision rules from data by first training a neural network and then extracting rules from the learned network....
JC - Počítačový hardware a software
- 2002 •
- D
Rok uplatnění
D - Stať ve sborníku
Rule Extraction from Data.
The paper deals with the topic of rule extraction from data, i.e., with data mining methods whose results are expressible as sentences of some formal logic. A very brief survey of the broad and diversified...
BA - Obecná matematika
- 2003 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Piecevise-Linear Neural Networks and Their Relationship to Rule Extraction from Data
The paper addresses the topic of extracting logical rules from data by means of artificial neural networks. The approach based on piecewise-linear neural networks is revisited, which has already been used for the <...
IN - Informatika
- 2006 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Measures for Comparing Rules Extracted from Data
This article deals with different measures for comparing rules extracted from data. At the beginning, the significance of rules as a type of structured knowledge is demonstrated. Then, the necessity of mea...
IN - Informatika
- 2006 •
- D
Rok uplatnění
D - Stať ve sborníku
Knowledge Extraction from EEG Data using Fuzzy Neural Networks
The extraction of logical rules from data has been, for nearly fifteen years of the ANN-based rules extraction methods rely primarily on heuristics for methods extracting fuzzy logic ...
BA - Obecná matematika
- 2005 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Neural Networks for Extraction of Fuzzy Logic Rules with Application to EEG Data
The extraction of logical rules from data is a key application of artificial neural networks (ANNs) in data mining. However, most of the ANN-based rule extraction are not very deep. That ...
BA - Obecná matematika
- 2005 •
- D
Rok uplatnění
D - Stať ve sborníku
A Study of Rules Extraction Methods with an Application to EEG Data
The paper gives an overview of different kinds of methdos for the extraction of logical rules from data, paying particular attention to the oldest kind of such methods, the extraction of rules of ...
IN - Informatika
- 2007 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Measures of Ruleset Quality for General Rules Extraction Methods
important rules extraction methods from the well-known iris data.The paper deals with quality measures of whole sets of rules extracted from data, as a counterpart to more commo...
IN - Informatika
- 2009 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Granular-rule extraction to simplify data
Granulation simplifies the data to better understand its complexity. It comforts this understanding by extracting the structure of data, essentially in big data or cloud computing scales. It can extract a ...
IN - Informatika
- 2015 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
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