A Heuristic Approach to the Disease Diagnose System Using Machine Learning Algorithms
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 2
Abstract
Abstract--The paper deals with the concepts of expert system and data mining belongs to the Artificial Intelligence fields. The main task of expert system is to ratiocination, while the machine learning algorithm is to find the better optimal solution. This paper mainly focuses on diagnoses of the disease which is effected to the Emu bird by mechanism of Particle Swarm Optimization (PSO) algorithm and Artificial Bee Colony(ABC) algorithm. The decisive rules of database ismined and that could be applied in expert system. Thus, by applying optimization techniques resulting to best global optimized solution.
Authors and Affiliations
P. Naga Jyothi , S . Suresh , Prof. M. Surendra Prasad Babu/
Relation based Ontology Matching using Alignment Strategies
The set of relation within a knowledge domain will be expressed with a help of Ontology, but data within the knowledge domain get scattered all over its space. To get a most precise result there must be necessary to rela...
A Novel Approach for English to South Dravidian Language Statistical Machine Translation System
Development of a well fledged bilingual machine translation (MT) system for any two natural languages with limited lectronic resources and tools is a challenging and demanding task. This paper presents the development o...
Controller Design Based on ISE Minimization and Dominant Pole Retention Method
A computer based method to reduce the complexity of the higher order controller, based on the minimization of integral square error (ISE) and Dominant Pole Retention method pertaining to unit step input is presented in...
ENHANCED DISTRIBUTED SERVICE MODEL FOR POWER SYSTEM STATE ESTIMATION
Web services are emerging technologies of choice for implementing distributed service models for performing power system operations such as state estimation of power systems in a complete secure, distributed and platform...
ANN and Fuzzy Logic Models for the Prediction of groundwater level of a watershed
Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Groundwater is a highly valuable resource. Measurement and analysis...