Archive:: Machine Learning Research:: Science Publishing Group

Machine Learning Research

Archive

2024, Volume 9
1. Issue 2, Dec.
2. Issue 1, Jun.
2023, Volume 8
1. Issue 2, Dec.
2. Issue 1, Jun.
2022, Volume 7
1. Issue 2, Dec.
2. Issue 1, Jun.
2021, Volume 6
1. Issue 2, Dec.
2. Issue 1, Jun.
2020, Volume 5
2019, Volume 4
2018, Volume 3
2017, Volume 2
2016, Volume 1
1. Issue 1, Dec.

Volume 4, Issue 2, June 2019

Learning Algorithms Using BPNN & SFS for Prediction of Compressive Strength of Ultra-High Performance Concrete

Deepak Choudhary

Issue: Volume 4, Issue 2, June 2019

Pages: 27-32

Received: 4 April 2019

Accepted: 23 May 2019

Published: 25 June 2019

DOI: 10.11648/j.mlr.20190402.11

Downloads:

Views:

Abstract: This paper presents machine learning algorithms based on back-propagation neural network (BPNN) that employs sequential feature selection (SFS) for predicting the compressive strength of Ultra-High Performance Concrete (UHPC). A database, containing 110 points and eight material constituents, was collected from the literature for the development of... Show More

Download PDF

View Online
Predicting Diabetes Mellitus Using Artificial Neural Network Through a Simulation Study

Shehu Usman Gulumbe, Shamsuddeen Suleiman, Shehu Badamasi, Ahmad Yusuf Tambuwal, Umar Usman

Issue: Volume 4, Issue 2, June 2019

Pages: 33-38

Received: 24 July 2019

Accepted: 16 August 2019

Published: 2 September 2019

DOI: 10.11648/j.mlr.20190402.12

Downloads:

Views:

Abstract: Diabetes mellitus (DM) is a diverse group of metabolic disorders that is frequently associated with a high disease burden in developing countries such as Nigeria. It also needs continuous blood glucose monitoring and self-management. This research is aimed to predict diabetes mellitus using artificial neural network. In this research, 100 patients ... Show More

Download PDF

View Online

Copyright © 2012 -- 2024 Science Publishing Group – All rights reserved.