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Item Details
Title: PARALLEL GENETIC ALGORITHMS FOR FINANCIAL PATTERN DISCOVERY USING GPUS
By: Joao Bauto
Format: Paperback

List price: £54.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 3319733281
ISBN 13: 9783319733289
Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
Pub. date: 16 March, 2018
Edition: 1st ed. 2018
Series: Computational Intelligence
Description: This Brief presents a study of SAX/GA, an algorithm to optimize market trading strategies, to understand how the sequential implementation of SAX/GA and genetic operators work to optimize possible solutions.
Illustrations: Approx. 100 p.
Returns: Returnable
Some other items by this author:
AIDA-CMK: MULTI-ALGORITHM OPTIMIZATION KERNEL APPLIED TO ANALOG IC SIZING (PB)
ANALOG CIRCUITS AND SYSTEMS OPTIMIZATION BASED ON EVOLUTIONARY COMPUTATION TECHNIQUES (HB)
ANALOG CIRCUITS AND SYSTEMS OPTIMIZATION BASED ON EVOLUTIONARY COMPUTATION TECHNIQUES (PB)
ANALOG IC PLACEMENT GENERATION VIA NEURAL NETWORKS FROM UNLABELED DATA
ANALOG INTEGRATED CIRCUIT DESIGN AUTOMATION (HB)
AUTOMATIC ANALOG IC SIZING AND OPTIMIZATION CONSTRAINED WITH PVT CORNERS AND LAYOUT EFFECTS (HB)
GENERATING ANALOG IC LAYOUTS WITH LAYGEN II (PB)
IDENTIFYING PATTERNS IN FINANCIAL MARKETS (PB)
INTELLIGENT FINANCIAL PORTFOLIO COMPOSITION BASED ON EVOLUTIONARY COMPUTATION STRATEGIES (PB)
INVESTMENT STRATEGIES OPTIMIZATION BASED ON A SAX-GA METHODOLOGY (PB)
LOGARITHMIC VOLTAGE-TO-TIME CONVERTER FOR ANALOG-TO-DIGITAL SIGNAL CONVERSION (HB)
MACHINE LEARNING BASED PAIRS TRADING INVESTMENT STRATEGY
PORTFOLIO OPTIMIZATION USING FUNDAMENTAL INDICATORS BASED ON MULTI-OBJECTIVE EA (PB)
TUNABLE LOW-POWER LOW-NOISE AMPLIFIER FOR HEALTHCARE APPLICATIONS



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