Artificial neural networks (ANNs) are computing systems that are motivated by the design and functioning of biological neural networks. Its design is driven by the goal of solving problems in a manner that mimics the working of the human brain. To achieve this, a system of artificial neurons is constructed, which transmits signals through connections. ANN can be programmed to deliver on the functionalities of data processing, classification, function approximation, robotics and control. Its use, however, requires an understanding of the learning algorithm, choice of model and robustness. Due to its diverse capabilities, ANN has potential applications in medical diagnosis, finance, ocean modeling, vehicle control, face identification, among many others. This book contains some path-breaking studies in the field of artificial neural networks. The ever-growing need of advanced technology is the reason that has fueled the research in the field of artificial neural networks in recent times. Coherent flow of topics, student-friendly language and extensive use of examples make this book an invaluable source of knowledge.