Estimating the Uncertainty of a Multilayer Perceptron Using the Monte Carlo Method
作者： F. García Fernández , L. García Esteban , P. de Palacios , A. García-Iruela , R. Cabedo Gallén
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.628.324
关键词: Artificial intelligence 、 Machine learning 、 Monte Carlo method 、 Algorithm 、 Multilayer perceptron 、 Computer science 、 Artificial neural network
摘要: Artificial neural networks have become a powerful modeling tool. However, although they obtain an output with very good accuracy, provide no information about the uncertainty of network or its coverage intervals. This study describes application Monte Carlo method to and intervals particular type artificial network: multilayer perceptron.
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