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[null,"1.","Record Nr.",null,"UNINA9910688472203321"]
[null,null,"Titolo",null,"Recent trends in artificial neural networks : from training to prediction / / edited by Ali Sadollah, Carlos M. Travieso-González"]
[null,null,"Pubbl/distr/stampa",null,"London : , : IntechOpen, , 2020"]
[null,null,"Descrizione fisica",null,"1 online resource (150 pages)"]
[null,null,"Disciplina",null,"610.28563"]
[null,null,"Soggetti",null,"Neural Networks (Computer)"]
[{"$nulls":4},"Neural Networks, Computer"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Artificial 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."]