Fuzzy Bat Algorithm for improved Clustering of Convolutional Neural Network Data

This article is expanded the technique for clustering the images from Convolutional Neural Network (CNN) with Bat Algorithm (BA). Varian images extract the features from CNN for identifying each image data. BA categorize those image data for improved clustering, assist with fuzzy logic systems. Computational result are comparative experiment results between CNN and Fuzzy BA, mean squared error and root mean squared error respectively.