Titlebook: Artificial Neural Networks — ICANN 2002; International Confer José R. Dorronsoro Conference proceedings 2002 Springer-Verlag Berlin Heidelb

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书目名称Artificial Neural Networks — ICANN 2002影响因子(影响力)




书目名称Artificial Neural Networks — ICANN 2002影响因子(影响力)学科排名




书目名称Artificial Neural Networks — ICANN 2002网络公开度




书目名称Artificial Neural Networks — ICANN 2002网络公开度学科排名




书目名称Artificial Neural Networks — ICANN 2002被引频次




书目名称Artificial Neural Networks — ICANN 2002被引频次学科排名




书目名称Artificial Neural Networks — ICANN 2002年度引用




书目名称Artificial Neural Networks — ICANN 2002年度引用学科排名




书目名称Artificial Neural Networks — ICANN 2002读者反馈




书目名称Artificial Neural Networks — ICANN 2002读者反馈学科排名

警告

水槽

AWL

https://doi.org/10.1007/978-3-319-42822-2ulting receptive fields shows that they have a rich spectrum of invariances and share many properties with complex and hypercomplex cells of the primary visual cortex. Furthermore, the dependence of the solutions on the statistics of the transformations is investigated.

Neutral-Spine

Storage Capacity of Kernel Associative Memoriesl functions. The analysis is presented for the case of polynomial and Gaussian kernels in a replica symmetry ansatz. As a general result we found for both kernels that the storage capacity increases considerably compared to the Hopfield-Little model.

Brittle

协定

ingestion

钝剑

流逝

Fiber-Optic Rotation Sensors. Bibliographyr ‘what’ paths of the visual cortex. The dorsal ‘where’ path is implemented in the model by feedforward and feedback connections between brain areas V1, V2 and a PP module. The ventral ‘what’ path is implemented in a physiologically plausible four-layer network, corresponding to brain areas V1, V2,