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'... 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
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
Book Description Vch Pub, 1993. Condition: New. book. Seller Inventory # M1560817933