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KES
2007
Springer

Design of Neural Networks

13 years 10 months ago
Design of Neural Networks
The paper offers a critical analysis of the procedure observed in many applications of neural networks. Given a problem to be solved, a favorite NN-architecture is chosen and its parameters tuned with some standard training algorithm, but without taking in consideration relevant features of the problem or possibly its interdisciplinary nature. Three relevant benchmark problems are discussed to illustrate the thesis that “brute force solving is not the same as understanding”. Keywords. Neural networks, pre-processing, problem-oriented design
Claudio Moraga
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where KES
Authors Claudio Moraga
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