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» Encoding Closure Operators into Neural Networks
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IJCAI
2007
14 years 18 days ago
Encoding Closure Operators into Neural Networks
Motivated by basic ideas from formal concept analysis, we propose two ways to directly encode closure operators on finite sets in a 3-layered feed forward neural network.
Sebastian Rudolph
ICCS
2007
Springer
14 years 5 months ago
Using FCA for Encoding Closure Operators into Neural Networks
After decades of concurrent development of symbolic and connectionist methods, recent years have shown intensifying efforts of integrating those two paradigms. This paper contribu...
Sebastian Rudolph
ACSC
2005
IEEE
14 years 4 months ago
Graph Grammar Encoding and Evolution of Automata Networks
The global dynamics of automata networks (such as neural networks) are a function of their topology and the choice of automata used. Evolutionary methods can be applied to the opt...
Martin H. Luerssen
GECCO
2004
Springer
14 years 4 months ago
Shortcomings with Tree-Structured Edge Encodings for Neural Networks
In evolutionary algorithms a common method for encoding neural networks is to use a tree-structured assembly procedure for constructing them. Since node operators have difficulties...
Gregory Hornby
KI
2007
Springer
14 years 5 months ago
A General Framework for Encoding and Evolving Neural Networks
Abstract. In this paper we present a novel general framework for encoding and evolving networks called Common Genetic Encoding (CGE) that can be applied to both direct and indirect...
Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea...