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» A Framework for Grid-based Neural Networks
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AROBOTS
1999
110views more  AROBOTS 1999»
14 years 9 months ago
Self-Localization of Autonomous Robots by Hidden Representations
We present a framework for constructing representations of space in an autonomous agent which does not obtain any direct information about its location. Instead the algorithm relie...
J. Michael Herrmann, Klaus Pawelzik, Theo Geisel
NN
2006
Springer
14 years 9 months ago
Propagation and control of stochastic signals through universal learning networks
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
Kotaro Hirasawa, Shingo Mabu, Jinglu Hu
AHSWN
2006
148views more  AHSWN 2006»
14 years 10 months ago
Geometric Chemotaxis: A Biologically-Inspired Framework for a Class of Wireless Coverage Problems
Abstract-- We present a new, biologically-inspired algorithm for the problem of covering a given region with wireless "units" (sensors or base-stations). The general prob...
Hidayet Ozgur Sanli, Rahul Simha, Bhagirath Naraha...
CEC
2005
IEEE
14 years 11 months ago
Graph composition in a graph grammar-based method for automata network evolution
The dynamics of neural and other automata networks are defined to a large extent by their topologies. Artificial evolution constitutes a practical means by which an optimal topolog...
Martin H. Luerssen, David M. W. Powers
GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
15 years 3 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...