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Can I read Practical Applications of Evolutionary Computation to Financial Engineering: Robust Techniques for Forecasting, Trading and Hedging (Adaptation, Learning, and Optimization, 11) on EtoBox?
Practical Applications of Evolutionary Computation to Financial Engineering: Robust Techniques for Forecasting, Trading and Hedging (Adaptation, Learning, and Optimization, 11) by Iba, Hitoshi, Aranha, Claus C. is a nonfiction available to read on EtoBox.
What is Practical Applications of Evolutionary Computation to Financial Engineering: Robust Techniques for Forecasting, Trading and Hedging (Adaptation, Learning, and Optimization, 11) about?
This book bridges the gap between computer science academics and traders, presenting state-of-the-art techniques in financial engineering using machine learning and evolutionary computation. Includes information on software for implementing solutions.
Who reads Practical Applications of Evolutionary Computation to Financial Engineering: Robust Techniques for Forecasting, Trading and Hedging (Adaptation, Learning, and Optimization, 11)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Iba, Hitoshi, Aranha, Claus C.
- Publisher
- Springer London, Limited
- Published
- 2016
- Language
- EN
- ISBN
- 9783662520222
- Category
- nonfiction
- Subjects
- Computer Science, Engineering, Enterprise Computing Systems
- Updated
- 2026-03-25
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