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» Multi-dimensional Recurrent Neural Networks
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NIPS
1993
13 years 11 months ago
Structural and Behavioral Evolution of Recurrent Networks
This paper introduces GNARL, an evolutionary program which induces recurrent neural networks that are structurally unconstrained. In contrast to constructive and destructive algor...
Gregory M. Saunders, Peter J. Angeline, Jordan B. ...
IPSN
2007
Springer
14 years 4 months ago
Wireless localization using self-organizing maps
Localization is an essential service for many wireless sensor network applications. While several localization schemes rely on anchor nodes and range measurements to achieve fine...
Gianni Giorgetti, Sandeep K. S. Gupta, Gianfranco ...
ICANN
2005
Springer
14 years 3 months ago
Classifying Unprompted Speech by Retraining LSTM Nets
Abstract. We apply Long Short-Term Memory (LSTM) recurrent neural networks to a large corpus of unprompted speech- the German part of the VERBMOBIL corpus. Training first on a fra...
Nicole Beringer, Alex Graves, Florian Schiel, J&uu...
EVOW
2003
Springer
14 years 3 months ago
Exploring the T-Maze: Evolving Learning-Like Robot Behaviors Using CTRNNs
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
Jesper Blynel, Dario Floreano
ROBOCUP
2005
Springer
112views Robotics» more  ROBOCUP 2005»
14 years 3 months ago
Velocity Control of an Omnidirectional RoboCup Player with Recurrent Neural Networks
In this paper, a recurrent neural network is used to develop a dynamic controller for mobile robots. The advantage of the control approach is that no knowledge about the robot mode...
Mohamed Oubbati, Michael Schanz, Thorsten Buchheim...