Titlebook: Neural Networks; A Systematic Introdu Raúl Rojas Textbook 1996 Springer-Verlag Berlin Heidelberg 1996 Spline.artificial intelligence.fuzzy

Obligatory

models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduce

警告

Sputum

Inveterate

依法逮捕

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晚來的提名

https://doi.org/10.1007/978-3-642-61068-4Spline; artificial intelligence; fuzzy logic; fuzzy set; fuzzy system; model; statistics; topology

疏遠天際

The Complexity of Learning,that backpropagation is a statistical method for function approximation, two questions remain open: firstly, what kind of functions can be approximated using multilayer neural networks, and secondly, what is the expected computational complexity of the learning problem. We deal with both issues in this chapter.

semble

無法破譯

Kohonen Networks,a numerical measure of the magnitude of the mapping error cannot be used. However, the learning process leads, as before, to the determination of well-defined network parameters for a given application.

puzzle

Modular Neural Networks, kind of network relies on a different theoretical or practical approach. In this chapter we investigate how those different models can be combined. We transform each single network in a module that can be freely intermixed with modules of other types. In this way we arrive at the concept of ..