Obligatory
发表于 2025-3-28 15:04:49
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
发表于 2025-3-28 21:55:30
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Sputum
发表于 2025-3-29 00:53:59
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Inveterate
发表于 2025-3-29 04:16:55
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依法逮捕
发表于 2025-3-29 07:56:39
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晚来的提名
发表于 2025-3-29 15:25:09
https://doi.org/10.1007/978-3-642-61068-4Spline; artificial intelligence; fuzzy logic; fuzzy set; fuzzy system; model; statistics; topology
疏远天际
发表于 2025-3-29 18:30:26
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
发表于 2025-3-29 21:38:38
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无法破译
发表于 2025-3-30 01:56:19
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
发表于 2025-3-30 07:31:23
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 ..