Titlebook: 4th Neural Computation and Psychology Workshop, London, 9–11 April 1997; Connectionist Repres John A. Bullinaria,David W. Glasspool,George

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书目名称4th Neural Computation and Psychology Workshop, London, 9–11 April 1997影响因子(影响力)




书目名称4th Neural Computation and Psychology Workshop, London, 9–11 April 1997影响因子(影响力)学科排名




书目名称4th Neural Computation and Psychology Workshop, London, 9–11 April 1997网络公开度




书目名称4th Neural Computation and Psychology Workshop, London, 9–11 April 1997网络公开度学科排名




书目名称4th Neural Computation and Psychology Workshop, London, 9–11 April 1997被引频次




书目名称4th Neural Computation and Psychology Workshop, London, 9–11 April 1997被引频次学科排名




书目名称4th Neural Computation and Psychology Workshop, London, 9–11 April 1997年度引用




书目名称4th Neural Computation and Psychology Workshop, London, 9–11 April 1997年度引用学科排名




书目名称4th Neural Computation and Psychology Workshop, London, 9–11 April 1997读者反馈




书目名称4th Neural Computation and Psychology Workshop, London, 9–11 April 1997读者反馈学科排名

Forsake

https://doi.org/10.1007/978-3-031-51521-7 a clear distinction between the two types of model and address some of the reasons for this popular bias. I conclude that, contrary to conventional wisdom, a localist approach shows more promise than a fully-distributed approach with regard to the development of both psychological-level and brain-l

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Lecture Notes in Civil Engineeringoperties of multi layer perceptrons (MLPs). In particular, the highly regarded use of distributed representations in MLPs is established in RBF networks. RBF networks have been used to learn a categorization task, and the way in which the networks have learned the task is interpreted in terms of loc

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Mohammad Nadimi,Jitendra Paliwala novel dimension along which to conceptualise learning methods. The present paper shows how geometric separability can be defined and demonstrates that it accurately predicts the performance of a at least one empirical learning method.

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Desert

Zafer Serin,Uğur Yüzgeç,Cihan Karakuzurent ways of quantifying the degree of topography of a mapping have been proposed. In order to investigate the consequences of the varying assumptions that these different approaches embody, we have optimized the mapping with respect to a number of different measures for a very simple problem — the

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Family Caregiver Stress in Critical Care“selection network” to achieve a mapping from their location on the retina to a translation-invariant “focus of attention”. We investigated spatially selective lesions affecting either the mapping from one side of the retina into the selection network, or the mapping from the selection network to on