This book presents intelligent methods like neural, neuro-fuzzy, machine learning, deep learning and metaheuristic methods and their applications in both volcanology and seismology. The complex system of volcanoes and also earthquakes is a big challenge to identify their behavior using available models, which motivates scientists to apply non-model based methods. As there are lots of seismology and volcanology data sets, i.e., the local and global networks, one solution is using intelligent methods in which data-based algorithms are used.

This book comprehensively illustrates the elemental processes of vesiculation and crystallization recorded in volcanic products on the basis of the equilibrium and non-equilibrium theories. The book describes the derivation of equations and the basic physics behind them in detail. This textbook is fundamental in preparing for future volcanic hazards. The target readers are graduate students and researchers, but Parts I and IV are written to be understandable by undergraduate students as well, to inspire them to enter this field.