This book gives chemists insight into the much discussed and often not fully understood concept of neural networks. The authors pinpoint the five most widely used neural networks and learning strategies, illustrating them with lucid examples. Numerous applications from diverse fields are used in the second part of the book to help the chemist gain a better understanding of neural networks. This self-study guide leads both students and professionals swiftly from introductory principles to practical application. It enables readers to apply neural networks to their problems, either with a commercial neural network package or with a self-made program.