Advanced Applications for Artificial Neural Networks

In this book, highly qualified multidisciplinary scientists grasp their recent researches motivated by the importance of artificial neural networks. It addresses advanced applications and innovative case studies for the next-generation optical networks based on modulation recognition using artificia...

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Jazyk:angličtina
Vydáno: IntechOpen 2023
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On-line přístup:ONIX_20231201_9789535137818_1366
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collection Directory of Open Access Books
description In this book, highly qualified multidisciplinary scientists grasp their recent researches motivated by the importance of artificial neural networks. It addresses advanced applications and innovative case studies for the next-generation optical networks based on modulation recognition using artificial neural networks, hardware ANN for gait generation of multi-legged robots, production of high-resolution soil property ANN maps, ANN and dynamic factor models to combine forecasts, ANN parameter recognition of engineering constants in Civil Engineering, ANN electricity consumption and generation forecasting, ANN for advanced process control, ANN breast cancer detection, ANN applications in biofuels, ANN modeling for manufacturing process optimization, spectral interference correction using a large-size spectrometer and ANN-based deep learning, solar radiation ANN prediction using NARX model, and ANN data assimilation for an atmospheric general circulation model.
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institution Directory of Open Access Books
language eng
publishDate 2023
publishDateRange 2023
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publisher IntechOpen
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spelling doab-20.500.12854ir-1302572024-04-14T10:28:27Z Advanced Applications for Artificial Neural Networks El-Shahat, Adel machine learning, artificial intelligence, biomarkers, simulation, deep learning, renewable energy thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems In this book, highly qualified multidisciplinary scientists grasp their recent researches motivated by the importance of artificial neural networks. It addresses advanced applications and innovative case studies for the next-generation optical networks based on modulation recognition using artificial neural networks, hardware ANN for gait generation of multi-legged robots, production of high-resolution soil property ANN maps, ANN and dynamic factor models to combine forecasts, ANN parameter recognition of engineering constants in Civil Engineering, ANN electricity consumption and generation forecasting, ANN for advanced process control, ANN breast cancer detection, ANN applications in biofuels, ANN modeling for manufacturing process optimization, spectral interference correction using a large-size spectrometer and ANN-based deep learning, solar radiation ANN prediction using NARX model, and ANN data assimilation for an atmospheric general circulation model. 2023-12-01T17:12:47Z 2023-12-01T17:12:47Z 2018 book ONIX_20231201_9789535137818_1366 9789535137818 9789535137801 9789535140573 https://directory.doabooks.org/handle/20.500.12854/130257 eng image/jpeg n/a https://www.intechopen.com/books/6187 https://mts.intechopen.com/storage/books/6187/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.68505 10.5772/intechopen.68505 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535137818 9789535137801 9789535140573 IntechOpen 296 open access
spellingShingle machine learning, artificial intelligence, biomarkers, simulation, deep learning, renewable energy
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems
Advanced Applications for Artificial Neural Networks
title Advanced Applications for Artificial Neural Networks
title_full Advanced Applications for Artificial Neural Networks
title_fullStr Advanced Applications for Artificial Neural Networks
title_full_unstemmed Advanced Applications for Artificial Neural Networks
title_short Advanced Applications for Artificial Neural Networks
title_sort advanced applications for artificial neural networks
topic machine learning, artificial intelligence, biomarkers, simulation, deep learning, renewable energy
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems
topic_facet machine learning, artificial intelligence, biomarkers, simulation, deep learning, renewable energy
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems
url ONIX_20231201_9789535137818_1366