Currency Exchange Rate Prediction Using Multi-layer Perceptron
- Title
- Currency Exchange Rate Prediction Using Multi-layer Perceptron
- Creator
- Middi A.R.; Middi V.S.R.
- Description
- Financial forecasting is an estimate of a future financial outcome and this outcome is related to some kind of value. We can measure this outcome for a company to predict its future stock or to detect the viability of a human for the sanction of a loan. In all these cases, we want to estimate the future outcome based on historical data. Various methods have been developed lately, to make time series predictions. In this work, we have used Multi-layer perceptron algorithm to predict the Currency Exchange rate between US dollar and EURO. The training network has been compiled using TensorFlow. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Source
- Lecture Notes in Electrical Engineering, Vol-783, pp. 231-237.
- Date
- 2022-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Currency; Fluctuations; Neural network; Perceptron; Prediction
- Coverage
- Middi A.R., Christ University, Bengaluru, India; Middi V.S.R., Brown University, Providence, RI, United States
- Rights
- Restricted Access
- Relation
- ISSN: 18761100; ISBN: 978-981163689-9
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Middi A.R.; Middi V.S.R., “Currency Exchange Rate Prediction Using Multi-layer Perceptron,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 26, 2025, https://archives.christuniversity.in/items/show/20454.