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100   $a20230623d2020      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aRecent trends in artificial neural networks $efrom training to prediction /$fedited by Ali Sadollah, Carlos M. Travieso-Gonza?lez
210  1$aLondon :$cIntechOpen,$d2020.
215   $a1 online resource (150 pages)
311   $a1-78985-859-3 
330   $aArtificial 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.
517   $aRecent Trends in Artificial Neural Networks 
606   $aNeural Networks (Computer)
606   $aNeural Networks, Computer
615  0$aNeural Networks (Computer)
615  0$aNeural Networks, Computer.
676   $a610.28563
702   $aSadollah$b Ali
702   $aTravieso-Gonza?lez$b Carlos M.
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a9910688472203321
996   $aRecent trends in artificial neural networks$92953929
997   $aUNINA