The Explanatory Power of Artificial Neural Networks

  • Michel Verleysen
Part of the Methodos Series book series (METH, volume 1)


Many engineering problems include some kind of recognition: from automatic character recognition to the control of steel quality in a steelworks, through the fault detection in nuclear plants or the prediction of financial rates, it is impossible to enumerate all domains where the key challenge is to identify an input-output relationship between variables or concepts. When the physical relationship is difficult to tackle, models are developed to approximate it.


Artificial Neural Network Explanatory Power Artificial Neural Network Model Neural Computation Adaptive Resonance Theory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer Science+Business Media New York 2002

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  • Michel Verleysen

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