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Foreign Exchange Price Prediction Using Artificial Neural Network Optimized by Salp Swarm Algorithm

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Advances in Distributed Computing and Machine Learning

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 302))

Abstract

This work is focused to design a network in terms of predicting the exchange price of Foreign Rupees in accordance to other currencies through a proper analysis of various past datasets. The prediction of the exchange rate has been done between world’s traded currencies such as USD versus INR. The algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Salp Swarm Algorithm (SSA) has been applied to optimize the Artificial Neural Network (ANN) for the foreign exchange prediction. Two performance metrics has been considered for tabulating and comparing the models are: Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). The predicted outcome gives the efficiency of the model over various popular models.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Technology, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India

    Arup Kumar Mohanty & Monalisa Panda

  2. Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India

    Debahuti Mishra

Authors
  1. Arup Kumar Mohanty
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  2. Monalisa Panda
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  3. Debahuti Mishra
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Corresponding author

Correspondence to Debahuti Mishra .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India

    Jyoti Prakash Sahoo

  2. School of Information Technology and Engineering (SITE), Vellore Institute of Technology, Vellore, India

    Asis Kumar Tripathy

  3. Center for Forensic Science, School of Mathematical and Physical Science, University of Technology Sydney, Broadway, NSW, Australia

    Manoranjan Mohanty

  4. Department of Computer Science and Information Engineering (CSIE), Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. Department. of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, India

    Ajit Kumar Nayak

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Mohanty, A.K., Panda, M., Mishra, D. (2022). Foreign Exchange Price Prediction Using Artificial Neural Network Optimized by Salp Swarm Algorithm. In: Sahoo, J.P., Tripathy, A.K., Mohanty, M., Li, KC., Nayak, A.K. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 302. Springer, Singapore. https://doi.org/10.1007/978-981-16-4807-6_38

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