Daniel Graupe ... 500 pages - Publisher: World Scientific Publishing; 3rd edition (November 19, 2013) ... Language: English - ISBN-10: 9814522732 - ISBN-13: 978-9814522731 ...
Artificial neural networks are most suitable for solving problems that
are complex, ill-defined, highly nonlinear, of many and different
variables, and/or stochastic. Such problems are abundant in medicine, in
finance, in security and beyond. This volume covers the basic
theory and architecture of the major artificial neural networks.
Uniquely, it presents 18 complete case studies of applications of neural
networks in various fields, ranging from cell-shape classification to
micro-trading in finance and to constellation recognition all with their
respective source codes. These case studies demonstrate to the readers
in detail how such case studies are designed and executed and how their
specific results are obtained. The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks.