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Combining Artificial Neural Nets

Ensemble and Modular Multi-Net Systems


This volume, written by leading researchers, presents methods of combining neural nets to improve their performance. The techniques include ensemble-based approaches, where a variety of methods are used to create a set of different nets trained on the same task, and modular approaches, where a task is decomposed into simpler problems. The techniques are also accompanied by an evaluation of their relative effectiveness and their application to a variety of problems.

Verlag Springer London
Sammlung Perspectives in Neural Computing
Auflage 22.01.1999
ISBN-10 185233004X
ISBN-13 9781852330040


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