Neural networks represent a powerful data processing technique
that has reached maturity and broad application. When clearly
understood and appropriately used, they are a mandatory component
in the toolbox of any engineer who wants make the best use of the
available data, in order to build models, make predictions, mine
data, recognize shapes or signals, etc. Ranging from theoretical
foundations to real-life applications, this book is intended to
provide engineers and researchers with clear methodologies for
taking advantage of neural networks in industrial, financial or
banking applications, many instances of which are presented in the
book. For the benefit of readers wishing to gain deeper knowledge
of the topics, the book features appendices that provide
theoretical details for greater insight, and algorithmic details
for efficient programming and implementation. The chapters have
been written by experts and edited to present a coherent and
comprehensive, yet not redundant, practically oriented
introduction.
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