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Practical Applications of Evolutionary Computation to Financial Engineering - Robust Techniques for Forecasting, Trading and Hedging (Paperback, Softcover reprint of the original 1st ed. 2012)
Loot Price: R2,976
Discovery Miles 29 760
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Practical Applications of Evolutionary Computation to Financial Engineering - Robust Techniques for Forecasting, Trading and Hedging (Paperback, Softcover reprint of the original 1st ed. 2012)
Series: Adaptation, Learning, and Optimization, 11
Expected to ship within 10 - 15 working days
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"Practical Applications of Evolutionary Computation to Financial
Engineering" presents the state of the art techniques in Financial
Engineering using recent results in Machine Learning and
Evolutionary Computation. This book bridges the gap between
academics in computer science and traders and explains the basic
ideas of the proposed systems and the financial problems in ways
that can be understood by readers without previous knowledge on
either of the fields. To cement the ideas discussed in the book,
software packages are offered that implement the systems described
within. The book is structured so that each chapter can be read
independently from the others. Chapters 1 and 2 describe
evolutionary computation. The third chapter is an introduction to
financial engineering problems for readers who are unfamiliar with
this area. The following chapters each deal, in turn, with a
different problem in the financial engineering field describing
each problem in detail and focusing on solutions based on
evolutionary computation. Finally, the two appendixes describe
software packages that implement the solutions discussed in this
book, including installation manuals and parameter explanations.
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