Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
Abstract The paper introduces mixed networks, a new graphical model framework for expressing and reasoning with probabilistic and deterministic information. The motivation to devel...
: The objective of our research is to computationally model word production and its disorders by means of artificial neural networks. In the current study we develop and analyze an...
This work deals with an original problem with regard to the traditionally sequential planning process in public transit networks. This problem aims at modifying the network's ...
The authors extended the idea of training multiple tasks simultaneously on a partially shared feed forward network. A shared input subvector was added to represented common inputs...