We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
We consider infinite antagonistic games over finite graphs. We present conditions that, whenever satisfied by the payoff mapping, assure for both players positional (memoryless...
This paper presents simulations of long-term competition for light between two plant species, oaks and beeches. These artificial plants, evolving in a 3D environment, are based on ...
We present a test methodology to allow testing high-speed circuits with low-speed ATEs. The basic strategy is adding an interface circuit to partially supply test data, coordinate...
A method for tuning MLP learning parameters in an ensemble classifier framework is presented. No validation set or cross-validation technique is required to optimize parameters for...