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Fintech Bitcoin Smart Investment Based on the Random Neural Network with a Genetic Algorithm

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Advances in Computational Intelligence Systems (UKCI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 840))

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Abstract

This paper presents the Random Neural Network in a Deep Learning Cluster structure with a new learning algorithm based on the genome model, where information is transmitted in the combination of genes rather than the genes themselves. The proposed genetic model transmits information to future generations in the network weights rather than the neurons. The innovative genetic algorithm is implanted in a complex deep learning structure that emulates the human brain: Reinforcement Learning takes fast and local decisions, Deep Learning Clusters provide identity and memory, Deep Learning Management Clusters take final strategic decisions and finally Genetic Learning transmits the learned information to future generations. This structure has been applied and validated in Fintech, a Bitcoin Smart Investment application based in an Intelligent Banker that performs Buy and Sell decisions on several Cryptocurrencies with an associated exchange and risk. Our results are promising; we have connected the human brain and genetics with Machine Learning based on the Random Neural Network model where Artificial Intelligence, similar as biology, is learning gradually and continuously while adapting to the environment.

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Author information

Authors and Affiliations

  1. Intelligent Systems and Networks Group, Electrical and Electronic Engineering Imperial College London, London, UK

    Will Serrano

Authors
  1. Will Serrano
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Correspondence to Will Serrano .

Editor information

Editors and Affiliations

  1. School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom

    Ahmad Lotfi

  2. Faculty of Science and Technology, Bournemouth University, Poole, Dorset, United Kingdom

    Hamid Bouchachia

  3. School of Computing, University of Portsmouth, Portsmouth, Hampshire, United Kingdom

    Alexander Gegov

  4. School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom

    Caroline Langensiepen

  5. College of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom

    Martin McGinnity

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Serrano, W. (2019). Fintech Bitcoin Smart Investment Based on the Random Neural Network with a Genetic Algorithm. In: Lotfi, A., Bouchachia, H., Gegov, A., Langensiepen, C., McGinnity, M. (eds) Advances in Computational Intelligence Systems. UKCI 2018. Advances in Intelligent Systems and Computing, vol 840. Springer, Cham. https://doi.org/10.1007/978-3-319-97982-3_11

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