TOWARDS UTILIZATION OF NEUROFUZZY SYSTEMS FOR TAXONOMIC IDENTIFICATION USING PSITTACINES AS A CASE STUDY

Towards Utilization of Neurofuzzy Systems for Taxonomic Identification Using Psittacines as a Case Study

Towards Utilization of Neurofuzzy Systems for Taxonomic Identification Using Psittacines as a Case Study

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Demonstration of the neurofuzzy application to the task of psittacine (parrot) taxonomic identification is presented in this paper.In this work, NEFCLASS-J neurofuzzy system is utilized for classification of parrot data for 141 and virginia mill works tobacco road acacia 183 groupings, using 68 feature points or qualities.The reported results display classification accuracies of above 95%, which is strongly tied to the setting of certain parameters of the neurofuzzy system.Rule base sizes were in the flexcon reverse osmosis water storage tank range of 1,750 to 1,950 rules.

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