The Computational Capabilities of Neural Networks.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F01%3A06010033" target="_blank" >RIV/67985807:_____/01:06010033 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Computational Capabilities of Neural Networks.
Original language description
We survey and summarize the existing literature on the computational aspects of neural network models, by presenting a detailed taxonomy of the various models according to their computational characteristics. The criteria of classification include e.g. the architecture of the network, time model, state type, weight constraints, network size, computation type, etc. The underlying results concerning the computational power of perceptron, RBF, winner-take-all, and spiking neural networks are briefly surveyed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LN00A056" target="_blank" >LN00A056: Institute of Theoretical Computer Science (Center of Young Science)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Artificial Neural Nets and Genetic Algorithms. Proceedings of the International conference.
ISBN
3-211-83651-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
22-26
Publisher name
Springer
Place of publication
Wien
Event location
Praha [CZ]
Event date
Apr 22, 2001
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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