Effective Intelligent Learning Mechanisms for Intra-modal and Multi modal Deep Convolutional Neural Network based on Wavelet for Data Analytics

Abstract

In the era of technical advancement, so many intelligent learning frameworks and technologies are effectively proposed for system identification, image/video recognition and data analytics. They are enhanced versions of conventional machine learning approach in the sense of training and prediction. Such frameworks are basically based on conventional neural networks. This paper presents a novel architecture of multi modal and intra modal convolution neural network that uses wavelet as activation function so as to attain better learning characteristics in intra as well multi mode feature extraction approach. In this work, CIFAR, SNAE2, and dataset are used for evaluating the performances of proposed Wavelet based Deep Convolutional Neural Network (WDCNN).The effectiveness of theoretical implementation is verified through simulation analysis.