Metabolism and Cell Cycle Modelling by Means of Neural Network Based Structures

Autor: Hanomolo, Andreia, Bogaerts, Philippe, Hanus, Raymond

Publikováno v: In IFAC Proceedings Volumes June 2000 33(15):151-156

Metabolism and Cell Cycle Modelling by Means of Neural Network Based Structures

Autor: Philippe Bogaerts, Andreia Hanomolo, Raymond Hanus

Publikováno v: IFAC Proceedings Volumes. 33:151-156

Due to their importance to the pharmaceutical industry and implicitly to the health, the animal cell cultures and the research carried out over their behaviour has gained recently an increasing attention. The paper presents a case study concerning th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f5bfba43286b23a2875e4812c6453d0b
https://doi.org/10.1016/s1474-6670(17)39742-2

Artificial neural networks and the simulation of human movements in CAD environments

Autor: A. Hanomolo, M. Costa, Eros Pasero, P. Crispino

Publikováno v: ICNN

A powerful goal for 3D CAD tools is today the simulation of working environments to find the ergonomic parameters which relate people to objects in the space. Mathematical models of human movements are complex to define and hard to solve. Artificial

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4acbaabcd682b63c9ee355a5f3c0238d
https://doi.org/10.1109/icnn.1997.614166

Application of a radial basis neural network in the fault detection and diagnosis of the temperature sensors of a heat exchanger.

Autor: Hanomolo, Daniela Andreia, Kinnaert, Michel

Publikováno v: Proceedings of the 8th International Conference: Industrial & Engineering Applications of Artificial Intelligence & Expert Systems; 6/ 5/1995, p353-359, 7p

Maximum likelihood parameter estimation of a hybrid neural-classical structure for the simulation of bioprocesses

Autor: A. Hanomolo, J. Graefe, M. Cherlet, Ph. Bogaerts, Raymond Hanus, John Werenne

Publikováno v: Scopus-Elsevier

This paper proposes a hybrid structure for the modeling of a bioprocess: classical (in the form of a priori knowledge describing the mass balances) and neural (a radial basis function network describing the nonlinear reactions kinetics within these m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cd213463d17bcb1cffe748d4584b12d
http://www.scopus.com/inward/record.url?eid=2-s2.0-0007827428&partnerID=MN8TOARS