Bike Sharing Prediction using Deep Neural Networks

JOIV: International Journal on Informatics Visualization

Chandrasegar Thirumalai¹  Ravisankar Koppuravuri¹ 

[1] VIT University

关键词: accuracy;    artificial intelligence;    neural network;    deep learning;    hidden layer;    sharing.;   

DOI  :  10.30630/joiv.1.3.30

学科分类：数学（综合）

来源: Politeknik Negeri Padang

【 摘 要 】

In this paper, we will use deep neural networks for predicting the bike sharing usage based on previous years usage data. We will use because deep neural nets for getting higher accuracy. Deep neural nets are quite different from other machine learning techniques; here we can add many numbers of hidden layers to improve the accuracy of our prediction and the model can be trained in the way we want such that we can achieve the results we want. Nowadays many AI experts will say that deep learning is the best AI technique available now and we can achieve some unbelievable results using this technique. Now we will use that technique to predict bike sharing usage of a rental company to make sure they can take good business decisions based on previous years data.

【 授权许可】

CC BY-SA