Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
Model based learning systems usually face to a problem of forgetting as a result of the incremental learning of new instances. Normally, the systems have to re-learn past instances...
In this paper we present efficient closed-form formulas to estimate capacitive coupling-induced crosstalk noise for distributed RC coupling trees. The efficiency of our approach...
Accurate gate-level static timing analysis in the presence of RC loads has become an important problem for modern deep-submicron designs. Non-capacitive loads are usually analyzed...
As a general framework to determine a collision-free feedback motion strategies, the Random Neighborhood Graph (RNG) approach [19] defines a global navigation function over an ap...