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» Extraction of Logical Rules from Neural Networks
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IJCNN
2008
IEEE
14 years 2 months ago
Self-organizing neural models integrating rules and reinforcement learning
— Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural m...
Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan
SAB
2010
Springer
117views Optimization» more  SAB 2010»
13 years 6 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley
JMLR
2008
188views more  JMLR 2008»
13 years 7 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
AUSAI
2006
Springer
13 years 12 months ago
Intelligent Control of Mobile Agent Based on Fuzzy Neural Network in Intelligent Robotic Space
This paper introduces Fuzzy Neural Network controller to increase the ability of a mobile robot in reacting to the dynamic environments. States of robot and environment, for exampl...
TaeSeok Jin, HongChul Kim, JangMyung Lee
ACL
2004
13 years 9 months ago
Extracting Regulatory Gene Expression Networks From Pubmed
We present an approach using syntactosemantic rules for the extraction of relational information from biomedical abstracts. The results show that by overcoming the hurdle of techn...
Jasmin Saric, Lars Juhl Jensen, Peer Bork, Rossitz...