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» The Recurrent Control Neural Network
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GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 1 months ago
Division blocks and the open-ended evolution of development, form, and behavior
We present a new framework for artificial life involving physically simulated, three-dimensional blocks called Division Blocks. Division Blocks can grow and shrink, divide and fo...
Lee Spector, Jon Klein, Mark Feinstein
AE
2003
Springer
14 years 19 days ago
Evolving a Cooperative Transport Behavior for Two Simple Robots
This paper addresses the problem of cooperative transport of an object by a group of two simple autonomous mobile robots called s-bots. S-bots are able to establish physical connec...
Roderich Groß, Marco Dorigo
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
14 years 23 days ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
CIMCA
2005
IEEE
14 years 1 months ago
A Recurrent Fuzzy Filter for Adaptive Noise Cancellation
This paper presents a recurrent fuzzy-neural filter for adaptive noise cancellation. The cancellation task is transformed to a system-identification problem, which is tackled by u...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
TNN
2010
139views Management» more  TNN 2010»
13 years 2 months ago
Identification of finite state automata with a class of recurrent neural networks
A class of recurrent neural networks is proposed and proven to be capable of identifying any discrete-time dynamical system. The application of the proposed network is addressed in...
Sung Hwan Won, Iickho Song, Sun-Young Lee, Cheol H...