A divide and conquer method for learning large fuzzy cognitive maps
From MaRDI portal
Publication:993079
DOI10.1016/J.FSS.2010.04.008zbMath1206.68263OpenAlexW1967034721WikidataQ56993134 ScholiaQ56993134MaRDI QIDQ993079
Witold Pedrycz, Wojciech Stach, Lukasz A. Kurgan
Publication date: 10 September 2010
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.fss.2010.04.008
genetic algorithmsinductive learningqualitative modelingfuzzy cognitive mapsparallel genetic algorithms
Learning and adaptive systems in artificial intelligence (68T05) Parallel algorithms in computer science (68W10)
Related Items (1)
Cites Work
- Unnamed Item
- Active Hebbian learning algorithm to train fuzzy cognitive maps
- Parameter setting in evolutionary algorithms.
- Comparing simulated annealing and genetic algorithm in learning FCM
- A divide and conquer method for learning large fuzzy cognitive maps
- Tackling real-coded genetic algorithms: operators and tools for behavioural analysis
- Why a simple model of genetic regulatory networks describes the distribution of avalanches in gene expression data
- Genetic learning of fuzzy cognitive maps
- Fuzzy cognitive maps
- Towards true linguistic modelling through optimal numerical solutions
- AI 2003: Advances in Artificial Intelligence
- An introduction to genetic algorithms.
This page was built for publication: A divide and conquer method for learning large fuzzy cognitive maps