The usefulness of an artificial analog neural network is closely bound to its trainability. This paper introduces a new analog neural network architecture using weights determined...
Johannes Schemmel, Karlheinz Meier, Felix Schü...
In this paper, we present a method to estimate the number of reconfiguration steps that a time-constrained algorithm can accommodate. This analysis demonstrates how one would attac...
We introduce PLC-Automata as a new class of automata which are tailored to deal with real-time properties of Programmable Logic Controllers (PLCs). These devices are often used in...
Event identification in photon counting ICCD detectors requires a high level image analysis which cannot be easily described algorithmically: neural networks are promising to appr...
Monica Alderighi, E. L. Gummati, Vincenzo Piuri, G...
A purely functional le system has been built on top of pure Scheme. It provides persistent structures and massive storage expected of le systems, without explicit side-e ects like ...