Publikationen

DQM

H. Geyer,
Pressemitteilung
Datenqualitätsmanagement
50,2 02 (2015), 5.

(Download)


DQM

H. Geyer,
Der Nutzen von Datenqualitätsmanagement
- eine Wirtschaftlichkeitsbetrachtung
cronos info 36 (2015), 8-12.

(Download)


DQM

H. Geyer,
Datenqualitätsmanagement in Energieversorgungsunternehmen,
Warum hohe Datenqualität in SAP IS-U/CRM/EDM etc. für EVU jetzt noch wichtiger ist und Datenqualitätstools ohne Kopplung mit Expertenwissen wirkungslos bleiben,
cronos info 26 (2012), 6-9.

(Download)


DQM

H. Geyer,
Entwicklung und Untersuchung von Gruppenbeitragsmethoden zur Vorhersage thermodynamischer Stoffgrößen unter Verwendung von Methoden der Computational Intelligence, Shaker, Aachen (2000).

(Bestellung)


JCT

H. Geyer, P. Ulbig, M. Görnert, and A. Susanto,
Measurements of densities and excess molar volumes for (1,2-propanediol, or 1,2-butanediol + water) at the temperatures (288.15, 298.15, 308.15) K and at the pressures (0.1, 20, 40, and 60) MPa,
The Journal of Chemical Thermodynamics 33 (2001) 9, 987-997.

(Abstract)


DQM

H. Geyer, P. Ulbig,
EBGVAP - A group contribution method for the prediction of enthalpies of vaporization of pure substances

(in Bearbeitung)


JCT

H. Geyer, P. Ulbig, and M. Görnert,
Measurements of densities and excess molar volumes for (1,2-ethanediol, 1,2-propanediol, or 1,2-butanediol + water) at the temperatures (278.15, 288.15, 298.15, 308.15, 318.15) K and for 2,3-butanediol + water at the temperatures (308.15, 313.15, 318.15) K,
The Journal of Chemical Thermodynamics 32 (2000) 12, 1585-1596.

(Abstract)


CIT

H. Geyer, P. Ulbig und S. Schulz,
Verschachtelte Evolutionsstrategien zur Optimierung nichtlinearer verfahrenstechnischer Regressionsprobleme,
Chemie Ingenieur Technik 72 (2000) 4, 369-373.

(Abstract)


Lecture Notes

M. Mandischer, H. Geyer, P. Ulbig,
Comparison of Neural Networks, Evolutionary Techniques and Thermodynamic Group Contribution Methods for the Prediction of Heats of Vaporization,
Technical Report CI-70/99 of the Collaborative Research Center 531: "Design and Management of Technical Processes and Systems by Using Methods of Computational Intelligence", Dortmund (1999).

Simulated Evolution and Learning, Lecture Notes in Computer Science 1585 (1999), 106-113.

(Download PDF) (Download PS) (Research Index) (Abstract)


SFB531 CI66/99

H. Geyer, P. Ulbig, S. Schulz, P. Bräuer,
Vergleich zwischen klassischen und verschachtelten Evolutionsstrategien am Beispiel einer nichtlinearen Regression an Oberflächenspannungen in R²,
Interner Bericht CI-66/99 des Sonderforschungsbereichs 531: "Design und Management komplexer technischer Prozesse und Systeme mit Methoden der Computational Intelligence", Dortmund (1999).

(Download PDF) (Download PS)


Fuzzy Days

C. Kracht, H. Geyer, P. Ulbig and S. Schulz,
Parameter Optimization of Group Contribution Methods in High Dimensional Solution Spaces,
In: B. Reusch, Computational Intelligence - Theory and Applications, International Conference, 6th Fuzzy Days, Springer, Lecture Notes in Computer Science 1625, Berlin (1999), 647-657.

(Abstract)


CaCE

H. Geyer, P. Ulbig and S. Schulz,
Use of Evolutionary Algorithms for the Calculation of Group Contribution Parameters in order to Predict Thermodynamic Properties.
Part 2: Encapsulated Evolution Strategies,
Computers and Chemical Engineering 23 (1999) 7, 955-973.

(Abstract)


SFB531 CI42/98

C. Kracht, H. Geyer, P. Ulbig, S. Schulz,
Optimum tuning parameters for Encapsulated Evolution Strategies: Results for a nonlinear regression problem,
Technical Report CI-42/98 of the Collaborative Research Center 531: "Design and Management of Technical Processes and Systems by Using Methods of Computational Intelligence", Dortmund (1998).

(Download PDF) (Download PS)


SEAL 98

M. Mandischer, H. Geyer, P. Ulbig,
Neural Networks and Evolutionary Algorithms for the Prediction of Thermodynamic Properties for Chemical Engineering,
In: B. McKay, X. Yao, C. S. Newton, J.-H. Kim, T. Furuhashi, Second Asia-Pacific Conference on Simulated Evolution and Learning - SEAL 98, Canberra (Australia), Lecture Notes in Computer Science 1585, Springer, Berlin/Heidelberg (1999), 106-113.

(Abstract) (Research Index)


PPSN 98

H. Geyer, P. Ulbig, and S. Schulz,
Encapsulated Evolution Strategies for the Determination of Group Contribution Model Parameters in order to predict Thermodynamic Properties,
In: A. E. Eiben, T. Bäck, M. Schoenauer, H.-P. Schwefel, 5th International Conference, Parallel Problem Solving from Nature, Lecture Notes in Computer Science 1498, Springer, Berlin (1998), 978-987.

(Abstract)


JoCaED

P. Ulbig, H. Geyer, O. Groß, and S. Schulz,
Excess Volumes for Diisopropyl Ether + Butanoic Acid and + Butyl Formate from 298.15 K to 323.15 K at Pressures up to 60 MPa,
Journal of Chemical and Engineering Data 43 (1998) 2, 175-177.

(Abstract)


SFB531

P. Ulbig, T. Friese, H. Geyer, C. Kracht, and S. Schulz,
Prediction of thermodynamic properties for chemical engineering with the aid of Computational Intelligence,
In: Progress in Connectionist-Based Information Systems - Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems 2 (1997), 1259-1262.

(Index)


Homepage VULT

HTML: Hannes Geyer (Stand: 27.01.2017) Besucher seit 05.04.2000: