A neural network is defined as a large-scale parallel distributed processor composed of a number of individual processing units which mirror the natural brain processes of learning and storing information. Because neural networks behave in a manner similar to what is found in nature, their application to real-world problems is beneficial across industries. Backpropagation Neural Networks and Their Applications presents an overview of experimental studies conducted in a university setting using backpropagation neural networks applied to a variety of domains. Touching on crucial research-based topics and providing insight into real-world applications of backpropagation neural networks, this video lecture is ideal for use by researchers, computer scientists, and graduate-level students.