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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 potentiaparallelism 发表于 2025-3-24 00:37:43
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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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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 validatioGRACE 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