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An Implementation of Machine Learning Systems using Fuzzy Distributed Artificial Intelligent Systems

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Author(s): M.Kumarasamy | A.Jebaraj Ratnakumar

Journal: International Journal of Engineering and Technology
ISSN 2049-3444

Volume: 2;
Issue: 8;
Start page: 1422;
Date: 2012;
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Keywords: Fuzzy logic | Artificial Intelligence | Neural Networks | Machine Learning

ABSTRACT
The main goal of this paper is to develop machine learning systems using fuzzy distributed artificial intelligent systems. The goal ofmachine learning is to ensemble learning and adaptation abilities of living species in computers; more deeply to program computers touse past experience to solve a given problem. As also stated by Michalski: “Learning is constructing or modifying representations ofwhat is being experienced.” In general, machine learning refers to a system capable of the autonomous acquisition and integration ofknowledge. Nowadays many powerful methods with different roots, has been introduced in ML such as: neural networks, geneticalgorithms, genetic programming, fuzzy logic and also many hybrid approaches as a combination of some aforementioned ones. UsingMachine Learning with Fuzzy techniques we implement Fuzzy Q Learning Algorithm.

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