Application of Neural Networks for Detection of Changes in Nonlinear Systems

Mandischer, M. (1993). Representation and evolution of neural networks. In Artificial Neural Nets and Genetic Algorithms (pp. 643-649). Springer, Vienna.

In what the underlying structure (US) is essential in training data ?

­> [...] these results give strong evidence that the underlying structure is essential [...] the structure influences the learning process and how we can gain knowledge about this structure/performance relation from superior genetic neural networks

How does a well defined (or presence) of an underlying structure in training data an influence on the learning process ?

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See also

• RN-Phases-2012011822