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» The Recurrent Control Neural Network
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99
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GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
15 years 9 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
15 years 8 months 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»
15 years 8 months 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
145
Voted
CIMCA
2005
IEEE
15 years 9 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»
14 years 10 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...