77 search results - page 8 / 16 » Time Series Forecasting by Evolving Artificial Neural Networ... |
WSOM
2009
Springer
14 years 2 months ago
2009
Springer
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
EVOW
2003
Springer
14 years 23 days ago
2003
Springer
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 ...
ITNG
2010
IEEE
14 years 19 days ago
2010
IEEE
This paper demonstrates the feasibility and potential of applying empirical mode decomposition (EMD) to forecast the arrival time behaviors in a parallel batch system. An analysis...
CEC
2008
IEEE
13 years 9 months ago
2008
IEEE
One of the advantages of evolutionary robotics over other approaches in embodied cognitive science would be its parallel population search. Due to the population search, it takes a...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Forecast, detection and warning of severe weather and related hydro-geological risks is becoming one of the major issues for civil protection. The use of computational intellig...