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Ongole Breed Cattle Health Expert Advisory System Using Parallel Particle Swarm Optimization Algorithm?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 4)

Publication Date:

Authors : ; ;

Page : 1303-1307

Keywords : Expert Systems; Machine Learning; PSO Algorithm; Parallel PSO; Optimization; Ongole Breed Cattle; JSP & MYSQL;

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? the present developed paper deals with the development of expert systems using machine learning algorithm techniques to advice the farmers through online in villages. An expert system can be defined as a computer program, with a set of rules encapsulating knowledge about a particular problem domain. Machine Learning is a mechanism, used in the development of Expert systems, concerned with writing a computer program that automatically improves with experience. PSO Algorithm was taken as base and designed a new algorithm known as Parallel Particle swarm optimization. Using this Parallel Particle swarm optimization (PSO). We developed a Ongole Breed Cattle Expert System. This system is mainly aimed for identifying the diseases and disease management Of Ongole Breed Cattle and to advise the farmers through online in the villages. The present advisory system is designed by using JSP as front end and MYSQL as backend.

Last modified: 2014-04-30 22:47:41