bike sharing prediction using deep neural networks

Clicks: 200
ID: 183446
2017
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
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.
Reference Key
thirumalai2017joiv:bike Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Chandrasegar Thirumalai;Ravisankar Koppuravuri
Journal intensive care medicine
Year 2017
DOI 10.30630/joiv.1.3.30
URL
http://joiv.org/index.php/joiv/article/view/30
Keywords
Deep learning artificial intelligence Neural network accuracy computer software sharing

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.