Bitcoin Cost Prediction using Deep Neural Network Technique
DOI:
https://doi.org//10.32628/CSEIT19521Keywords:
Bitcoin Cost Prediction, Neural Network Technique, Multi-Layer Perceptron, Crypto-Currencies, Artificial Neural Network, NMCAbstract
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.
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