Abstract Full scale simulations of neuronal network models the brain are challenging due to high density connections between neurons. This contribution reports run times shorter than simulated span biological time for a full model local cortical microcircuit with explicit representation synapses on recent conventional compute node. Realtime performance is relevant robotics and closed-loop appli...

Time geography considers that the probability of moving objects distributed in an accessible transportation network is not always uniform, and therefore density function applied to quantitative time analysis needs consider actual constraints. Existing methods construct a kernel under constraints based on principle least effort each point shortest path between anchor points has same value. This,...

In the present paper, a new family of multi-layers (deep) neural network (NN) operators is introduced. Density results have been established in space continuous functions on [−1,1], with respect to uniform norm. First, case two-layers considered detail, then definition and corresponding density extended general operators. All above definitions allow us prove approximation by constructive approa...

nowadays, environmental impact assessment (eia) is a one of planning tool that used for the prediction of environmental impacts. there are several methods to assess environmental impacts in the world. degradation model is one of the mathematics models that investigates and predicts data for assessing the impact of development. degradation model consist degradation coefficient per ecology unit, ...

The major aim of processing satellite images is to prepare topical and effectivemaps. The selection of appropriate classification methods plays an important role. Amongvarious methods existing for image classification, artificial neural network method is ofhigh accuracy. In present study, TM images of 1987, and ETM+ images of 2000 and 2006were analyzed using artificial fuzzy ARTMAP neural netwo...