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A novel recurrent neural network-based prediction system for option trading and hedging

✍ Scribed by C. Quek; M. Pasquier; N. Kumar

Publisher
Springer US
Year
2007
Tongue
English
Weight
626 KB
Volume
29
Category
Article
ISSN
0924-669X

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In this contribution, a novel learning architecture based on the interconnection of two different learning-based neural networks has been used to both predict temperature and drying curves and solve inverse modelling equations in microwave-assisted drying processes. In this way, a neural model that