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

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書(shū)目名稱Artificial Neural Networks — ICANN 2002影響因子(影響力)




書(shū)目名稱Artificial Neural Networks — ICANN 2002影響因子(影響力)學(xué)科排名




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書(shū)目名稱Artificial Neural Networks — ICANN 2002網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Artificial Neural Networks — ICANN 2002被引頻次




書(shū)目名稱Artificial Neural Networks — ICANN 2002被引頻次學(xué)科排名




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書(shū)目名稱Artificial Neural Networks — ICANN 2002讀者反饋




書(shū)目名稱Artificial Neural Networks — ICANN 2002讀者反饋學(xué)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

協(xié)定

ingestion

鈍劍

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,