000			02264naaaa2200385uu 4500
001			https://directory.doabooks.org/handle/20.500.12854/67307
003			oapen
005			20240126143903.0
006			m o d
007			cr|mn|---annan
008			20210420s2020 xx |||||o ||| eng|| d
020			_a9781789854206
020			_a9781789854190
020			_a9781789858594
040			_aoapen _coapen
041	0		_aeng
080			_a004.8
100	1		_aSadollah, Ali _4edt
245	1	0	_aRecent Trends in Artificial Neural Networks _bfrom Training to Prediction
260			_bIntechOpen _c2020
300			_a1 electronic resource (150 p.)
506	0		_aOpen Access _2star _fUnrestricted online access
520			_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.
540			_aCreative Commons _fhttps://creativecommons.org/licenses/by/3.0/ _2cc
546			_aEnglish
650		0	_aИскусственный интеллект _2bicssc _94518
653			_aNeural networks & fuzzy systems
700	1		_aTravieso-Gonzalez, Carlos M. _4edt
700	1		_aSadollah, Ali _4oth
700	1		_aTravieso-Gonzalez, Carlos M. _4oth
856	4	0	_awww.oapen.org _uhttps://mts.intechopen.com/storage/books/7607/authors_book/authors_book.pdf _70 _zDownload
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/67307 _70 _zDescription
909			_c4 _dDarya Shvetsova
942			_2udc _cEE
999			_c6583 _d6583