CLASSIFICATION OF LEAF DISEASES USING MODIFIED GENETIC ALGORITHM AND NORMALIZED SUM SQUARE DEVIATION

FINNEY DANIEL SHADRACH; GUNAVATHI KANDASAMY; ANITHA RAGHUNATHAN

doi:https://doi.org/10.6036/10111

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CLASSIFICATION OF LEAF DISEASES USING MODIFIED GENETIC ALGORITHM AND NORMALIZED SUM SQUARE DEVIATION

MAY 2022 - Volume: 97 - Pages: 263-266

DOI:

https://doi.org/10.6036/10111

Authors:

FINNEY DANIEL SHADRACH - GUNAVATHI KANDASAMY - ANITHA RAGHUNATHAN

Disciplines:

INFORMATION TECHNOLOGY AND KNOWLEDGE (INTELIGENCIA ARTIFICIAL Y SIMULACION )

Downloads: 18

How to cite this paper:

Received Date : 19 February 2021

Reviewing Date : 27 May 2021

Accepted Date : 2 December 2021

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Key words:: Classification, segmentation, feature selection, feature relevance, Neural network, Clasificación, segmentación, selección de características, red neuronal
Article type:: ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:: RESEARCH ARTICLES

In real world scenario, large number of features represents a data, but all these features are not useful.In this paper,hybrid algorithm comprising of modified genetic algorithm (GA) for segmentation andnormalised sum square deviation (NSSD) for feature selection is proposed. The proposed algorithm is tested one standard dataset, which gives an average accuracy of 94.3% for neural network classifier.

Keywords: Classification, segmentation, feature selection, neural network

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