This application allow user to predict microemulsion region based on algorithm consisted of artificial neural networks and random forests. Those techniques combined create Decision Support System.
Application was created as a part of project K/DSC/000033 subsidy for young researchers from Polish Ministry of Higher Education.

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow ME_DSS

ME_DSS Web Site

Other Useful Business Software
Train ML Models With SQL You Already Know Icon
Train ML Models With SQL You Already Know

BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
Start Free
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
★
2
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

  • Thanks for the great effort,really the idea is creative, it will be even greater if you uploaded a video tutorial showing how to prepare the input csv file, how to load it on the software, and how to calculate and analyze the results.
  • Microemulsion Decision Support System ensembles artificial neural models and random forest to achieve better microemulsion region predictions. Written in Java, suited for both Java 7u09 and Java 6u37 (see different tar.gz files). Enjoy using it!
    1 user found this review helpful.
Read more reviews >

Additional Project Details

Operating Systems

BSD, Linux, Windows

Intended Audience

Education, Healthcare Industry, Science/Research

User Interface

Java AWT, Java Swing

Programming Language

Java

Related Categories

Java Chemistry Software, Java Artificial Intelligence Software, Java Medical Software

Registered

2012-08-27