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  • 2000-2004  (2)
  • Key words Meropenem  (1)
  • Keywords: Fuzzy clustering; Fuzzy modelling; Neural fuzzy systems; Non-linear system identification  (1)
  • β-Lactams  (1)
Material
Years
  • 2000-2004  (2)
Year
Keywords
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Neural computing & applications 9 (2000), S. 44-49 
    ISSN: 1433-3058
    Keywords: Keywords: Fuzzy clustering; Fuzzy modelling; Neural fuzzy systems; Non-linear system identification
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: A simple and effective fuzzy modelling approach is presented in this paper. A three-layer hierarchical clustering neural network is developed to build fuzzy rule-based models from numerical data. Differing from existing clustering-based methods, in this approach the structure identification of the fuzzy model is implemented on the basis of a class of sub-clusters created by a self-organising network instead of on raw data. By combined use of unsupervised and supervised learning, both structure identification and parameter optimisation of the fuzzy model can be carried out automatically. The simulation results show that the proposed method can provide good model structure for fuzzy modelling and has high computing efficiency.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1437-7780
    Keywords: Key words Meropenem ; β-Lactams ; Clinical isolated strains ; MIC (E-test)
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract In 1999, a surveillance study was initiated in a hospital in Beijing to monitor the potency and spectrum of five extended-spectrum β-lactam antimicrobial agents (meropenem, imipenem, cefepime, ceftazidime, and cefoperazone/sulbactam) tested against 554 strains of bacteria. Five groups of organisms were tested by the E-test method, with results validated by concurrent quality control strain analysis. Results were tabulated, and 100% of quality assurance tests (16/16 tests) were within ranges recommended by the National Committee for Clinical Laboratory Standards. Of the five β-lactam drugs tested, meropenem and imipenem were the most active against all isolates tested. Overall, the rank order of activity of the five agents was: meropenem (94.6% susceptible) 〉 imipenem (90.1%) 〉 cefepime (77.6%), cefoperazone/sulbactam (77.5%), ceftazidime (76.6%). Ninety-five percent of Enterobacter were to meropenem, while 82% were susceptible to imipenem. Meropenem was more active than imipenem against Pseudomonas aeruginosa. The minimum inhibitory concentration (MIC) of meropenem was eightfold lower than that of imipenem. Meropenem had excellent activity against Haemophilus influenzae, Streptococcus pneumoniae, and oxacillin-susceptible staphylococci.
    Type of Medium: Electronic Resource
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