This paper proposes the utilization of hybrid models of supervised neural networks for the modelling of dynamic systems. Particularly, as an example of a system, a autonomous helic...
Rodrigo San Martin, Antonio Barrientos, Pedro Guti...
Embedded signal processing system is a typical type of application in embedded domain. Such systems typically have requirements on high real-time responsiveness and large buffer c...
Kernel-based systems are currently very popular approaches to supervised learning. Unfortunately, the computational load for training kernel-based systems increases drastically wit...
In this paper, we report on a user-centered, iterative design process for augmenting sports equipment with ubiquitous computing technology. In several design iterations, a fully w...
Matthias Kranz, Wolfgang Spiessl, Albrecht Schmidt
In this study, a novel hybrid AI system framework is developed by means of a systematic integration of artificial neural networks (ANN) and rulebased expert system (RES) with web-b...