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» Optimising the topology of complex neural networks
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BMCBI
2007
153views more  BMCBI 2007»
13 years 5 months ago
An exploration of alternative visualisations of the basic helix-loop-helix protein interaction network
Background: Alternative representations of biochemical networks emphasise different aspects of the data and contribute to the understanding of complex biological systems. In this ...
Brian J. Holden, John W. Pinney, Simon C. Lovell, ...
NIPS
1989
13 years 7 months ago
The Cascade-Correlation Learning Architecture
Cascade-Correlation is a new architecture and supervised learning algorithm for artificial neural networks. Instead of just adjusting the weights in a network of fixed topology,...
Scott E. Fahlman, Christian Lebiere
VW
2000
Springer
128views Virtual Reality» more  VW 2000»
13 years 9 months ago
The World of Framsticks: Simulation, Evolution, Interaction
A three-dimensional virtual world simulation is described, where evolution takes place and it is possible to investigate behaviors of creatures in real-time. Bodies of these creatu...
Maciej Komosinski
GECCO
2006
Springer
147views Optimization» more  GECCO 2006»
13 years 9 months ago
Evolving a real-world vehicle warning system
Many serious automobile accidents could be avoided if drivers were warned of impending crashes before they occur. Creating such warning systems by hand, however, is a difficult an...
Nate Kohl, Kenneth O. Stanley, Risto Miikkulainen,...
HYBRID
1998
Springer
13 years 10 months ago
High Order Eigentensors as Symbolic Rules in Competitive Learning
We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...
Hod Lipson, Hava T. Siegelmann