000			02178naaaa2200325uu 4500
001			https://directory.doabooks.org/handle/20.500.12854/40176
005			20220219213851.0
020			_aintechopen.68505
020			_a9789535137801
020			_a9789535140573
020			_a9789535137818
024	7		_a10.5772/intechopen.68505 _cdoi
041	0		_aEnglish
042			_adc
100	1		_aAdel El-Shahat _4auth
245	1	0	_aAdvanced Applications for Artificial Neural Networks
260			_bIntechOpen _c2018
300			_a1 electronic resource (296 p.)
506	0		_aOpen Access _2star _fUnrestricted online access
520			_aIn 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.
540			_aAll rights reserved _4http://oapen.org/content/about-rights
546			_aEnglish
653			_aPhysical Sciences
653			_aEngineering and Technology
653			_aNeural Network
653			_aComputer and Information Science
653			_aArtificial Intelligence
856	4	0	_awww.oapen.org _uhttps://www.intechopen.com/books/advanced-applications-for-artificial-neural-networks _70 _zDOAB: download the publication
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/40176 _70 _zDOAB: description of the publication
999			_c45438 _d45438