Das Papier untersucht, wie Erwartungsbildung mit Hilfe neuronaler Netze modelliert werden kann. Die Grundlage bildet ein Cobweb-Modell, in dem Firmen Preiserwartungen auf Basis eines Feedforward-Netzes bilden.Zunächst wird anhand von Simulationen gezeigt, daß Firmen durch neuronale...

Die sich ständig verändernden Märkte und Marktgegebenheiten, Innovationen im Bereich der Informations- und Kommunikationstechnologie sowie die Erneuerung des allgemeinen Wertesystems in Verbindung mit einem weiter steigenden Wettbewerbsdruck auf die Unternehmen führen unmittelbar dazu, dass...

In diesem Aufsatz wird der Fragestellung nachgegangen, ob neuronale Netze in der Lage sind Kennzahlen für Warteschlangensysteme zu approximieren. Da für die meisten in der Praxis vorkommenden Warteschlangenprobleme keine exakten, expliziten Lösungen für die Warteschlangenkennzahlen...

Introduction. The objects of investigation of this work are micro-level behaviors in stock markets. We aim at better understanding which strategies of market participants drive stock markets. The problem is that micro-level data from real stock markets are largely unobservable. We take an...

This paper aims at introducing a relative security measure, applicable to evaluating the impact of arms races on the military security of allies. This measure is based on demographic criteria, which play a dominant role in a number of arms races involving military alliances. The case of Greece...

Murphy, Koehler, and Fogler [1997] gave in the last issue of the Journal of Portfolio Management an account of how to raise a neural net’s IQ. The purpose of this reply is to point out some of the general difficulties with neural nets. Also, I would like to mention an alternative method,...

This research presents a comparative analysis of the wind speed forecasting accuracy of univariate and multivariate ARIMA models with their recurrent neural network counterparts. The analysis utilizes contemporaneous wind speed time histories taken from the same tower location at five different...

This research studies possible existence of business cycle asymmetries in Canada, France, Germany, Italy, Japan, UK, and US real GDP growth rates. Asymmetries in these countries are modeled using in-sample as well as jackknife out-of-sample forecasts approximated from artificial neural networks....

We study the problem of supervised learning in a scenario with a student, a teacher and a book. The student and teacher learn using the Hebbian learning rule, but while the teacher’s training set comes exclusively from the book, the student receives examples from the book and from the teacher....

We study the problem of determining the Hamiltonian of a fully connected Ising spin glass of N units from a set of measurements, whose sizes needs to be O(N2) bits. The student–teacher scenario, used to study learning in feed-forward neural networks, is here extended to spin systems with...