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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Neural computing & applications 7 (1998), S. 309-317 
    ISSN: 1433-3058
    Keywords: Explanation facilities ; Feedforward neural networks ; Input impacts ; Interpretation ; Knowledge discovery ; Weight analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract Artificial neural network models are now being widely used in various areas of statistical research. Nevertheless, there is a certain degree of reluctance amongst members of the business profession in applying neural networks to business analysis. One of the major causes of scepticism is the inability of the models to provide explanation on how they reach their decisions. The current experiment is concerned with solving this problem by developing a framework for establishing the impacts of the input variables on the network output. The framework was tested on a feedforward neural network model for turnover forecasting which was developed in co-operation with a British retailer using real world marketing data. The results obtained are compared with those from a sensitivity analysis.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    European journal of clinical pharmacology 3 (1970), S. 18-22 
    ISSN: 1432-1041
    Keywords: Drug therapy ; analeptics ; respiratory ; insufficiency ; taloximine ; ethamivan
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology , Medicine
    Notes: Summary A new peripherally acting respiratory stimulant taloximine is shown in a limited double-blind controlled study to be an effective analeptic agent, though probably no more so than ethamivan, in chronic bronchitic patients in moderate cardio-respiratory failure as a result of acute infective exacerbations.
    Type of Medium: Electronic Resource
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