Open AccessBitcoin Cost Prediction using Deep Neural Network Technique
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit19521
Subject(s) - cryptocurrency , currency , perceptron , computer science , artificial neural network , liberian dollar , multilayer perceptron , value (mathematics) , set (abstract data type) , range (aeronautics) , econometrics , artificial intelligence , economics , machine learning , monetary economics , computer security , finance , engineering , programming language , aerospace engineering
The accusative of this paper is to predict the bitcoin price accurately by taking various parameters into consideration which affects the bitcoin value. Here multi-layer perceptron algorithms under deep learning are used to predict the price of crypto-currency. Many researchers have analysed the crypto-currency features in many ways such as, market price prediction, the impact of cryptocurrency in real life. It has the ability to make long-term prediction of the exchange price in crypto-currencies particularly in US dollar, based on historical trends. The bitcoin cost prediction is done based on the data set which consists of 13 features relating to the crypto-currency price recorded daily over the period of particular range.