Use of neural networks and expert systems to control a gas/solid sorption chilling machine-Reference-Cited by-同舟云学术

Use of neural networks and expert systems to control a gas/solid sorption chilling machine

Published:1999-01 Issue:1 Volume:22 Page:59-66
ISSN:0140-7007
Container-title:International Journal of Refrigeration
language:en
Short-container-title:International Journal of Refrigeration

Author:

Palau A,Velo E,Puigjaner L

Publisher

Elsevier BV

Subject

Mechanical Engineering,Building and Construction

Reference19 articles.

1. Bassols J. Refrigeration and heating absorption systems in course of energy management by absorption cycles, editorial Madrid: Centro de Investigaciones Energeticas y Medioambientales, 1994.

2. Rockenfeller U, Kirol L. Solid vapour compound chemicals heat pumps for industrial applications. Report Department of Energy-ACO7-76IDO1570, 1988.

3. Pompes a chaleur basées sur la rèaction renversable entre un gaz et un solide ou une solution saturée: recherche et developpement;Spinner;Recent progrés Genie des procèdés,1988

4. Coste C, Crozat G, Mauran S. Procédé de mise en oeurvre de réactions gas–solide. FR Patent No. 8309885, June 1983. Extension US Patent No 4595774, June 1986.

5. Solid–gas chemical heat pumps: field of application and performance of the internal heat of reaction recovery process;Neveu;Heat Recovery Systems and CHP,1993

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