✦ LIBER ✦

Improving learning of genetic rule-based classifier systems

✍ Scribed by McAulay, A.D.; Jae Chan Oh

Book ID: 114550502
Publisher: Institute of Electrical and Electronics Engineers
Year: 1994
Weight: 848 KB
Volume: 24
Category: Article
ISSN: 0018-9472
DOI: 10.1109/21.259696

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Clustering-based initialization of Learn

Clustering-based initialization of Learning Classifier Systems

✍ Tzima, Fani A.; Mitkas, Pericles A.; Theocharis, John B. 📂 Article 📅 2012 🏛 Springer 🌐 English ⚖ 982 KB

Operating rules classification system of

Operating rules classification system of water supply reservoir based on Learning Classifier System

✍ Xiao-Lin Wang; Zheng-Jie Yin; Yi-Bing Lv; Si-Fu Li 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 335 KB

Improving the scalability of rule-based

Improving the scalability of rule-based evolutionary learning

✍ Jaume Bacardit; Edmund K. Burke; Natalio Krasnogor 📂 Article 📅 2008 🏛 Springer-Verlag 🌐 English ⚖ 506 KB

Genetic learning of fuzzy rule-based cla

Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods

✍ Oscar Cordón; María José del Jesus; Francisco Herrera 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 247 KB 👁 1 views

In this paper, we present a multistage genetic learning process for obtaining linguistic fuzzy rule-based classification systems that integrates fuzzy reasoning methods cooperating with the fuzzy rule base and learns the best set of linguistic hedges for the linguistic variable terms. We show the ap

[Lecture Notes in Computer Science] Know

[Lecture Notes in Computer Science] Knowledge-Based Intelligent Information and Engineering Systems Volume 3682 || An Implementation of Learning Classifier Systems for Rule-Based Machine Learning

✍ Khosla, Rajiv; Howlett, Robert J.; Jain, Lakhmi C. 📂 Article 📅 2005 🏛 Springer Berlin Heidelberg ⚖ 399 KB

MOGUL: A methodology to obtain genetic f

MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach

✍ O. Cordón; M. J. del Jesus; F. Herrera; M. Lozano 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 219 KB 👁 1 views

main aim of this paper is to present MOGUL, a Methodology to Obtain Genetic fuzzy rule-based systems Under the iterative rule Learning approach. MOGUL will consist of some design guidelines that allow us to obtain different genetic fuzzy rule-based systems, i.e., evolutionary algorithm-based process