|A system is presented that learns to control a priori unknown nonlinear dy-namical systems and enables the user to interpret, examine and correct the control strategy in every stage of learning. The application of dynamic programming methods to train a neural network for such control purposes was already quite successful. In order to shorten the long training process the system should allow th...

It has been known that the Wigner representation theory for positive energy orbits permits a useful localization concept in terms of certain lattices of real subspaces of the complex Hilbert-space. This framework was recently used by Brunetti, Guido and Longo in order to construct interaction-free nets of local algebras without using non-unique "free eld coordinates". Here it is shown that this...

In this paper we consider the continuous time ltering problem and we estimate the order of convergence of an interacting particle system scheme presented by the authors in previous works. We will discuss how the discrete time approximating model of the Kushner-Stratonovitch equation and the genetic type interacting particle system approximation combine. We present quenched error bounds as well ...

The effects of different concentrations of CdCl2 and AlCl3 on NH4+ and NO2? oxidation in an aqueous system were investigated. AlCl3 had no effect on NH4+ removal and its oxidation to NO2?, whereas NO2? disappearance was greatly enhanced by AlCl3. In contrast, CdCl2 delayed removal of NH4+ and its subsequent oxidation to NO2? and also decreased the rate of NO2? disappearance. When compared to th...

The effective application of artificial intelligence (AI) models in various fields the field financial risk can improve speed data processing, deepen degree analysis and reduce labor cost, thus effectively improving efficiency control. AI management puts forward new requirements for system setup operation mode supervision. With rapid growth ofcomputer network technology, increase market transac...

This article examines the structural effects of platform certification on the supply of complementary products. Drawing on the exploratory case of mobile application markets, the article highlights the broader market effects of competing platforms and their certifications on a platform-based complementary product market. The case suggests that platform certifications influence market intermedia...

Prediction markets are an interesting instrument to draw on the “wisdom of the crowds”, e.g., to forecast sales or project risks. So far, mainly two market mechanisms have been implemented in prediction markets, the continuous double auction and logarithmic market scoring rule. However, the effects of the choice between these two market mechanisms on relevant variables such as prediction market...