Authors
Abstract
In this work Aِِrtificial Neural Network (ANN) is used as a classifier capable of
recognizing the most important features of the plant disease, with minimum error
value. Genetic algorithm has been used to minimize error values of the ANN
classifier. Error value of ANN classifier is defined as more than (%5). This ratio
is a threshold (cut-of-value) to determine if GA is executed or not after the ANN
classifier execution. Genetic algorithm execution results in either optimal solution
(%100) recognition or suggests a modified parameter to the ANN classifier
(specifically learning rate and number of neurons).The result obtained from
integrating neural network with genetic algorithm for classification plant diseases
indicates that the classifier recognizes most of input pattern with accuracy (96%).
Integrating neural network with genetic algorithm for classification plant diseases
implemented using Visual Basic version 6 programming
Keywords
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