Recurrent neural networks for prediction : learning algorithms, architectures and stability /

39

Bibliographic Details
Main Authors: 321820 Mandic, Danilo P., Chambers, Jonathon A.
Format:
Language:eng
Published: Chichester : John Wiley & Sons, 2001
Subjects:
_version_ 1796708027367161856
author 321820 Mandic, Danilo P.
Chambers, Jonathon A.
author_facet 321820 Mandic, Danilo P.
Chambers, Jonathon A.
author_sort 321820 Mandic, Danilo P.
collection OCEAN
description 39
first_indexed 2024-03-05T03:45:33Z
format
id KOHA-OAI-TEST:305372
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T03:45:33Z
publishDate 2001
publisher Chichester : John Wiley & Sons,
record_format dspace
spelling KOHA-OAI-TEST:3053722020-12-19T17:10:10ZRecurrent neural networks for prediction : learning algorithms, architectures and stability / 321820 Mandic, Danilo P. Chambers, Jonathon A. Chichester : John Wiley & Sons,2001eng3959PSZJBLMachine learningArtificial neural networksURN:ISBN:0471495174 (hbk.)
spellingShingle Machine learning
Artificial neural networks
321820 Mandic, Danilo P.
Chambers, Jonathon A.
Recurrent neural networks for prediction : learning algorithms, architectures and stability /
title Recurrent neural networks for prediction : learning algorithms, architectures and stability /
title_full Recurrent neural networks for prediction : learning algorithms, architectures and stability /
title_fullStr Recurrent neural networks for prediction : learning algorithms, architectures and stability /
title_full_unstemmed Recurrent neural networks for prediction : learning algorithms, architectures and stability /
title_short Recurrent neural networks for prediction : learning algorithms, architectures and stability /
title_sort recurrent neural networks for prediction learning algorithms architectures and stability
topic Machine learning
Artificial neural networks
work_keys_str_mv AT 321820mandicdanilop recurrentneuralnetworksforpredictionlearningalgorithmsarchitecturesandstability
AT chambersjonathona recurrentneuralnetworksforpredictionlearningalgorithmsarchitecturesandstability