Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Predicting Protein Localization Sites in Escherichia Coli Bacteria


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

   Subscribe/Renew Journal


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.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 201

PDF Views: 3




  • Predicting Protein Localization Sites in Escherichia Coli Bacteria

Abstract Views: 201  |  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.