Artificial Neural Networks – ICANN 2007
Publication year: 2007
: 978-3-540-74690-4
This book contains learning theory, advances in neural network learning methods, ensemble learning, spiking neural networks, advances in neural network architectures neural network technologies, neural dynamics and complex systems, data analysis, estimation, spatial and spatio-temporal learning, evolutionary computing, meta learning, agents learning, complex-valued neural networks, as well as temporal synchronization and nonlinear dynamics in neural networks.
: Computer Science, Boolean function, algorithmic learning, algorithms, bioinspired computing, biomedical data analysis, classification, clutering, cognition, cognitive science, complexity, computer vision, fuzzy logic, genetic programming, modeling, multi-agent system
