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dc.contributor.editorSadollah, Ali
dc.contributor.editorTravieso-Gonzalez, Carlos M.
dc.date.accessioned2021-04-20T16:09:50Z
dc.date.available2021-04-20T16:09:50Z
dc.date.issued2020
dc.identifierONIX_20210420_9781789854206_2666
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/67307
dc.description.abstractArtificial intelligence (AI) is everywhere and it's here to stay. Most aspects of our lives are now touched by artificial intelligence in one way or another, from deciding what books or flights to buy online to whether our job applications are successful, whether we receive a bank loan, and even what treatment we receive for cancer. Artificial Neural Networks (ANNs) as a part of AI maintains the capacity to solve problems such as regression and classification with high levels of accuracy. This book aims to discuss the usage of ANNs for optimal solving of time series applications and clustering. Bounding of optimization methods particularly metaheuristics considered as global optimizers with ANNs make a strong and reliable prediction tool for handling real-life application. This book also demonstrates how different fields of studies utilize ANNs proving its wide reach and relevance.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.otherNeural networks & fuzzy systems
dc.titleRecent Trends in Artificial Neural Networks
dc.title.alternativefrom Training to Prediction
dc.typebook
oapen.identifier.doi10.5772/intechopen.77409
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781789854206
oapen.relation.isbn9781789854190
oapen.relation.isbn9781789858594
oapen.imprintIntechOpen
oapen.pages150


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