Henrik Jonsson

An Information-Based Neural Approach to Generic Constraint (2007)

Henrik Jonsson, Bo Soderberg

Submitted to Artificial Intelligence A novel artificial neural network heuristic (INN) for general constraint satisfaction problems is presented, extending a recently suggested method for binary...

Omlokalisering av företag (2007)

Gunnefur, Ola, Jonsson, Henrik

Denna uppsats påvisar ett tillvägagångssätt som en extern aktör kan tillämpa när en fastighet förvärvats med avsikt att ändra upplåtelseform. Då uppstår frågan hur de befintliga...

Single Name Credit Deafult Swaptions Meet Single Sided Jump Models (2007)

Jonsson, Henrik, Schoutens, Wim; U0009713

Credit risk modeling is about modeling losses. These losses are typically coming unexpectedly and triggered by shocks. So any process modeling the stochastic nature of losses should reasonable...

Kapitalstruktur inom Svenska industriföretag : - en studie av Modigliani & Millers teorem (2006)

Araos Martinez, Lilian, Jonsson, Henrik

This paper’s objective is to investigate whether Modigliani and Miller (MM) I & II proposition from 1958 with regard to capital structure, is still valid among public Swedish firms.We have chosen...

Kapitalstruktur inom Svenska industriföretag : - en studie av Modigliani & Millers teorem (2006)

Araos Martinez, Lilian, Jonsson, Henrik

This paper’s objective is to investigate whether Modigliani and Miller (MM) I & II proposition from 1958 with regard to capital structure, is still valid among public Swedish firms.We have chosen...

Invited commentary. (2006)

Jonsson, Henrik

Abstract is not available.

Goodwillredovisning - Förändringen, åsikterna och effekterna (2004)

RISTOV, GORAN, JONSSON, HENRIK

Syfte: Redogöra för nya rekommendationer gällande goodwillredovisningen samt redogöra för hur dessa framtida rekommendationer uppfattas av ett antal revisorer och företag. Metod: Vi utgår...

An Information-Based Neural Approach to Constraint Satisfaction (2001)

Jonsson, Henrik, Soderberg, Bo

A novel artificial neural network approach to constraint satisfaction problems is presented. Based on information-theoretical considerations, it differs from a conventional mean-field approach in the...

Deterministic Annealing and Nonlinear Assignment (2001)

Soderberg, Bo, Jonsson, Henrik

For combinatorial optimization problems that can be formulated as Ising or Potts spin systems, the Mean Field (MF) approximation yields a versatile and simple ANN heuristic, Deterministic Annealing....

An Information-Based Neural Approach to Constraint Satisfaction (2000)

Henrik Jonsson, Bo Söderberg

A novel artificial neural network approach to constraint satisfaction problems is presented. Based on information-theoretical considerations, it differs from a conventional mean-field approach in the...

Neural Network Approaches to Job Shop Problems (1997)

Henrik Jonsson

A combinatorial optimization problem in the form of the job shop problem is approached, using artificial neural networks. The feedback networks are encoded with Potts neurons, and updated through...