Skip to main content

USM Extract : A Sustainable Soft-Computing Platform

Posted by ebiller on November 11, 2011 at 2:57 PM PST

Summary

Designed and developed by Mr. Tan Choo Jun and supervised by Prof. Lim Chee Peng from University Science Malaysia (http://www.usm.my), USM Extract is a soft computing platform that consists of a number of artificial neural networks and other data-based learning models. The key feature of USM Extract is the autonomous learning capabilities associated with the constituent soft computing models. The main aim of USM Extract is to facilitate the development and application of sustainable intelligent systems that require minimum human supervision and intervention for extracting information/knowledge from complex databases in undertaking data mining and knowledge discovery problems. Details of USM Extract are available at http://extract.java.net/