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Predicting Protein Localization Sites in Escherichia Coli Bacteria


Affiliations
1 Department of Computer Science, Pondicherry University, CC, India
     

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In this paper, three different neural network structure which are Self Organizing Map (SOM), Probablistic Neural Network (PNN) and Radial Basis Function (RBF) were applied to the Escherichia coli bacteria benchmark and their efficiency in classifying the dataset has been obtained Then the dataset is applied to the proposed coactive neuro-fuzzy inference system (CANFIS) model integrated with genetic algorithm and better classification with less MSE is obtained when tested using replicative testing.

Keywords

Self Organizing Map, Probablistic Neural Network, Radial Basis Function, CANFIS, Ecoli.
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  • Predicting Protein Localization Sites in Escherichia Coli Bacteria

Abstract Views: 196  |  PDF Views: 3

Authors

Latha Parthiban
Department of Computer Science, Pondicherry University, CC, India

Abstract


In this paper, three different neural network structure which are Self Organizing Map (SOM), Probablistic Neural Network (PNN) and Radial Basis Function (RBF) were applied to the Escherichia coli bacteria benchmark and their efficiency in classifying the dataset has been obtained Then the dataset is applied to the proposed coactive neuro-fuzzy inference system (CANFIS) model integrated with genetic algorithm and better classification with less MSE is obtained when tested using replicative testing.

Keywords


Self Organizing Map, Probablistic Neural Network, Radial Basis Function, CANFIS, Ecoli.