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IGPL
2010
86views more  IGPL 2010»
13 years 3 months ago
Perspectives and challenges for recurrent neural network training
Marco Gori, Barbara Hammer, Pascal Hitzler, Guenth...
ICARCV
2008
IEEE
200views Robotics» more  ICARCV 2008»
13 years 11 months ago
A robot behavior-learning experiment using Particle Swarm Optimization for training a neural-based animat
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...
Fabien Moutarde
ESANN
2008
13 years 6 months ago
Conditional prediction of time series using spiral recurrent neural network
Frequently, sequences of state transitions are triggered by specific signals. Learning these triggered sequences with recurrent neural networks implies storing them as different at...
Huaien Gao, Rudolf Sollacher
CIMCA
2005
IEEE
13 years 10 months ago
An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
IJCNN
2006
IEEE
13 years 11 months ago
Recurrent Neural Network Based Gating for Natural Gas Load Prediction System
Abstract— Prediction of natural gas consumption is an important element in gas load management aimed to better utilize the facilities of a gas distribution system. The major chal...
Petr Musílek, Emil Pelikán, Tomas Br...