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» The Recurrent Control Neural Network
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CEC
2009
IEEE
15 years 4 months ago
Lamarckian neuroevolution for visual control in the Quake II environment
Abstract— A combination of backpropagation and neuroevolution is used to train a neural network visual controller for agents in the Quake II environment. The agents must learn to...
Matt Parker, Bobby D. Bryant
IJCNN
2006
IEEE
15 years 3 months ago
Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots
— Neural networks have been proposed as an ideal cognitive modeling methodology to deal with the symbol grounding problem. More recently, such neural network approaches have been...
Angelo Cangelosi, Emmanouil Hourdakis, Vadim Tikha...
AICCSA
2007
IEEE
127views Hardware» more  AICCSA 2007»
15 years 1 months ago
Diesel Engine Indicated Torque Estimation Based on Artificial Neural Networks
Abstract-- This paper presents an artificial neural networks approach to estimate the indicated torque of a single-cylinder diesel engine from crank shaft angular position and velo...
Yahya H. Zweiri, Lakmal D. Seneviratne
NC
1998
101views Neural Networks» more  NC 1998»
14 years 11 months ago
Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Günther R. Raidl, Gabriele Kodydek
NN
2008
Springer
114views Neural Networks» more  NN 2008»
14 years 9 months ago
Event detection and localization for small mobile robots using reservoir computing
Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability,...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...