626 search results - page 3 / 126 » Evolving Artificial Neural Networks that Develop in Time |
EVOW
2003
Springer
14 years 17 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 ...
ESWA
2006
13 years 7 months ago
2006
In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
The Layered Pareto Coevolution Archive (LAPCA) was recently proposed as an effective Coevolutionary Memory (CM) which, under certain assumptions, approximates monotonic progress i...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
IWANN
2009
Springer
14 years 1 months ago
2009
Springer
We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions ...