作者: G.S. Ng , F. Liu , T.F. Loh , C. Quek
DOI: 10.1016/J.ESWA.2012.01.028
关键词:
摘要: Artificial ventilation is a crucial supporting treatment for Intensive Care Unit. However, as the ventilator control becomes increasingly more complex, it non-trivial less experienced clinicians to settings. In this paper, novel Hebbian based Rule Reduction (HeRR) neuro-fuzzy system applied model problem intra-patient and inter-patient control. These two ICU care studies demonstrate capability of HeRR in extracting salient knowledge embedded training data. Experimental results on show promising use artificial ventilation.