Neural Networks for Chemists: An Introduction - Hardcover

Zupan, Jure; Gasteiger, Johann

Hardcover

ISBN 10: 352728592X ISBN 13: 9783527285921

Publisher: Wiley VCH, 1993

Synopsis

′... highly recommended ... could become a scientific bestseller ...′ Spectroscopy Europe

This self–study guide leads both students and professionals surely and swiftly from introductory principles to practical applications of neural networks. It will enable readers to apply them to their problems, either with a commercial neural network package or with a self–made program.

The first part of the book describes the fundamental principles. It pinpoints the five most widely used neural networks and learning strategies, illustrated with lucid examples. The second part helps chemists to get a grip on neural networks by showing them numerous applications from diverse fields:
– analytical chemistry and spectroscopy
– process control and optimization of product composition – reactivity of organic compounds and QSAR
– maps of electrostatic potentials
– secondary structures of proteins

′The attractive and clear presentation of this book make it recommendable for the complete novice.′ The Analyst

About this title

Synopsis

This textbook offers chemists insights into the much discussed - and often not fully understood - concept of neural networks. It starts by describing the fundamental principles, and pinpoints the five most widely used neural networks and learning strategies, illustrating them with lucid examples. The second part of the book helps chemists to get a grip on neural networks by showing them numerous applications from diverse fields. These include analytical chemistry and spectroscopy; process control and optimization of product composition; reactivity of organic compounds and QSAR; maps of electrostatic potentials; and secondary structures of proteins. This self-study guide leads both students and professionals from introductory principles to practical application. It aims to enable readers to apply neural networks to their problems, either with a commercial neural network package or with a self-made programme.

Edition details

• Publisher: Wiley VCH
• Publication date: 1993
• Language: English
• ISBN 10: 352728592X
• ISBN 13: 9783527285921
• Binding: Hardcover
• Number of pages: 324