This book constitutes the Proceedings of the 21st Engineering Applications of Neural Networks conference, which is technically supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a course, characterized by growth spurts that alternate with AI winters. In our days, AI is an important part of the fourth industrial revolution and we are living in its highest peak ever. In specific areas AI is catching up with humans or it performs even better. This book serves as a comprehensive guide in a wide part of AI areas, concentrating in new or hybrid AI algorithmic approaches with robust applications in diverse sectors. One of the advantages of this book is that it contains robust algorithmic approaches-and applications in a wide spectrum of scientific fields, namely: Employment of Convolutional Neural Networks (CNN) – Deep Learning - LSTM in Robotics/Machine Vision/Engineering/Image Processing/ Medical Systems/Environment. Moreover, Machine Learning-Meta Learning applied in Neurobiological Modeling/Optimization/. State of the art Hybrid Systems, Algorithmic Foundations of Artificial Neural Networks.weiterlesen