Search Results for "classifier system ocs"

This advanced machine learning algorithm is a Michigan-style learning classifier system (LCS) developed to specialize in classification, prediction, data mining, and knowledge discovery tasks. Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces.

The Koppen Climate Classifier is an open source software written in Java that classifies regional climate based on Koppen Climate Classification System. It classifies climate based on three types of inputs: temperature, precipitation and hemisphere. The Koppen Climate Classification is one of the most widely used climate classification systems. It was first published by a Russian German climatologist, Wladimir Koppen.

Educational Learning Classifier System (eLCS) is a set of learning classifier system (LCS) educational demos designed to introduce students or researchers to the basics of a modern Michigan-style LCS algorithm. This eLCS package includes 5 different implementations of a basic LCS algorithm, as part of a 6 stage set of demos that will be paired with the first introductory LCS textbook.