TY - CHAP A1 - Alex Oliveira Barradas Filho A2 - Isabelle Moraes Amorim Viegas ED1 - Adel El-Shahat Y1 - 2018-02-28 PY - 2018 T1 - Applications of Artificial Neural Networks in Biofuels N2 - 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. BT - Advanced Applications for Artificial Neural Networks SP - Ch. 10 UR - https://doi.org/10.5772/intechopen.70691 DO - 10.5772/intechopen.70691 SN - 978-953-51-3781-8 PB - IntechOpen CY - Rijeka Y2 - 2022-01-22 ER -