02531nam 2200505 450 991026514820332120221012153613.0953-51-4057-4953-51-3781-6(CKB)4100000002890949(NjHacI)994100000002890949(oapen)https://directory.doabooks.org/handle/20.500.12854/40176(MiAaPQ)EBC30390190(Au-PeEL)EBL30390190(EXLCZ)99410000000289094920221012d2018 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAdvanced applications for artificial neural networks /Adel El-Shahat, editor1st ed.IntechOpen2018[Place of publication not identified] :IntechOpen,[2018]©20181 online resource (296 pages)953-51-3780-8 In 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.Neural networks (Computer science)Physical SciencesEngineering and TechnologyNeural NetworkComputer and Information ScienceArtificial IntelligenceNeural networks (Computer science)006.32Adel El-Shahatauth1365939El-Shahat AdelNjHacINjHaclBOOK9910265148203321Advanced applications for artificial neural networks3388233UNINA