兴奋过度 发表于 2025-3-23 13:28:25

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arbovirus 发表于 2025-3-23 14:11:50

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贪婪地吃 发表于 2025-3-23 20:07:08

1431-6854 ifferent nets trained on the same task; the modular approachThe past decade could be seen as the heyday of neurocomputing: in which the capabilities of monolithic nets have been well explored and exploited. The question then is where do we go from here? A logical next step is to examine the potentia

parallelism 发表于 2025-3-24 00:37:43

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消耗 发表于 2025-3-24 04:42:51

Self-Organised Modular Neural Networks for Encoding Data,-dimensional data space is broken up into a number of lowdimensional subspaces, each of which is separately encoded. This type of factorial encoder emerges through a process of self-organisation, provided that the input data lies on a curved manifold, as is indeed the case in image processing applications.

绝种 发表于 2025-3-24 08:14:03

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Accomplish 发表于 2025-3-24 11:28:13

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Lyme-disease 发表于 2025-3-24 18:03:26

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Habituate 发表于 2025-3-24 22:30:51

Model Selection of Combined Neural Nets for Speech Recognition,ask and in digit recognition over a noisy telephone line. Bootstrap estimates of minimum MSE allow selection of regression models that improve system recognition performance. The procedure allows a flexible strategy for dealing with inter-speaker variability without requiring an additional validatio

GRACE 发表于 2025-3-25 01:35:55

1431-6854 ntages of modular design and reuse advocated by object-oriented programmers. And it is not surprising to find that the same principles can be usefully applied in the field of neurocomput­ ing as well, although finding the best way of adapting them is a subject of on-going research.978-1-85233-004-0978-1-4471-0793-4Series ISSN 1431-6854
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查看完整版本: Titlebook: Combining Artificial Neural Nets; Ensemble and Modular Amanda J. C. Sharkey Book 1999 Springer-Verlag London Limited 1999 Ensembl.cognition