Synergies between statistical data analysis and neural networks in the control of rotary blood pumps

Cybernetics and Systems

Volumn 28, Issue 3, 1997, Pages 215-224

  Dorffner, Georg ^a   Stoklmayer, Christian ^a   Schmidt, Christian ^a   Schima, Heinrich ^a  

^a UNIVERSITY OF VIENNA   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL SYSTEMS; DATA REDUCTION; LARGE SCALE SYSTEMS; NEURAL NETWORKS; ROTARY PUMPS; STATISTICAL METHODS;

PRINCIPAL COMPONENT ANALYSIS (PCA); ROTARY BLOOD PUMPS;

HEMODYNAMICS;

EID: 0031116906     PISSN: 01969722     EISSN: 10876553     Source Type: Journal    
DOI: 10.1080/019697297126155     Document Type: Article

References (5)

1. Bedford, M. 1989. Improving upon standard pattern classification algorithms b implementing them as multilayer perceptrons. RSRE Memor. 4346.
2. Dorffner, G., and G. Porenta. 1994. On using feedforward neural networks fo clinical diagnostic tasks. Artif. Intell. Med. 6:417-435.
3. Schima, H., H. Thoma, G. Wieselthaler, and E. Wolner, eds. 1991. Proceeding of the International Workshop on Rotary Blood Pumps. Vienna: Chirurgisch Univ.-Klinik.
4. Schima, H., W. Trubel, A. Moritz, G. Wieselthaler, H. G. Stoehr, H. Thom: U. Losert, and E. Wolner. 1992Noninvasive monitoring of rotary bloo pumps: Necessity, possibilities, and limitations. Artif. Organs 16:195-202.
5. Smyth, S. G. 1992. Designing multilayer perceptrons from nearest-neighbo systems. IEEE Trans. Neural Networks 3:329-333