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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 de...
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...
IN - Informatika
- 2007 •
- C
Rok uplatnění
C - Kapitola v odborné knize
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 impor...
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 for methods extracting fuzzy logic rules, which usually allow to mix different logical conne...
BA - Obecná matematika
- 2005 •
- C
Rok uplatnění
C - Kapitola v odborné knize
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 di...
BA - Obecná matematika
- 2003 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Statistical, Logic-Based, and Neural Networks Based Methods for Mining Rules from Data.
to the extraction of rules from data with artificial neural networks.In the paper, a survey of the most important data mining approaches is given, and an integrative framework based on observational l...
BA - Obecná matematika
- 2002 •
- D
Rok uplatnění
D - Stať ve sborníku
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 ...
IN - Informatika
- 2006 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural Networks.
The extraction of logical rules from data by means of artificial NN is receiving increasingly much attention. Paper presents a mathematically well founded for the extraction of both kinds of r...
BA - Obecná matematika
- 2002 •
- D
Rok uplatnění
D - Stať ve sborníku
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)
Extraction of Fuzzy Logic Rules from Data by Means of Artificial Neural Networks
A method for the extraction of rules in a general fuzzy disjunctive normal form is described in detail and illustrated on real-world applications. Furter, the paper proposes an algorithm demonstrating a principal possibility to ...
BA - Obecná matematika
- 2005 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
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